merge deepspeech, parakeet and text_processing into paddlespeech

.mergify.yml

@@ -41,13 +41,13 @@ pull_request_rules:
         remove: ["conflicts"]
   - name: "auto add label=S2T"
     conditions:
-      - files~=^deepspeech/
+      - files~=^paddlespeech/s2t/
     actions:
       label:
         add: ["S2T"]
   - name: "auto add label=T2S"
     conditions:
-      - files~=^parakeet/
+      - files~=^paddlespeech/t2s/
     actions:
       label:
         add: ["T2S"]
@@ -59,7 +59,7 @@ pull_request_rules:
         add: ["Audio"]
   - name: "auto add label=TextProcess"
     conditions:
-      - files~=^text_processing/
+      - files~=^paddlespeech/text/
     actions:
       label:
         add: ["TextProcess"]

docs/source/asr/models_introduction.md

@@ -61,7 +61,7 @@ For feature extraction, three methods are implemented, which are linear (FFT wit
 Currently, the released deepspeech2 online model use the linear feature extraction method.
 ```
 The code for feature extraction
-vi deepspeech/frontend/featurizer/audio_featurizer.py
+vi paddlespeech/s2t/frontend/featurizer/audio_featurizer.py
 ```
 
 ### Encoder
@@ -69,7 +69,7 @@ The encoder is composed of two 2D convolution subsampling layers and a number of
 
 The code of Encoder is in:
 ```
-vi deepspeech/models/ds2_online/deepspeech2.py
+vi paddlespeech/s2t/models/ds2_online/deepspeech2.py
 ```
 
 ### Decoder
@@ -78,9 +78,9 @@ To got the character possibilities of each frame, the feature representation of
 The code of the decoder is in:
 ```
 # The code of constructing the decoder in model
-vi deepspeech/models/ds2_online/deepspeech2.py
+vi paddlespeech/s2t/models/ds2_online/deepspeech2.py
 # The code of CTC Decoder
-vi deepspeech/modules/ctc.py
+vi paddlespeech/s2t/modules/ctc.py
 ```
 
 ### Training Process
@@ -169,7 +169,7 @@ For data preparation and decoder, the deepspeech2 offline model is same with the
 
 The code of encoder and decoder for deepspeech2 offline model is in:
 ```
-vi deepspeech/models/ds2/deepspeech2.py
+vi paddlespeech/s2t/models/ds2/deepspeech2.py
 ```
 
 The training process and testing process of deepspeech2 offline model is very similary to deepspeech2 online model.

docs/source/conf.py

@@ -28,8 +28,8 @@ autodoc_mock_imports = ["soundfile", "librosa"]
 # -- Project information -----------------------------------------------------
 
 project = 'paddle speech'
-copyright = '2021, Deepspeech-developers'
-author = 'Deepspeech-developers'
+copyright = '2021, paddlespeech-developers'
+author = 'paddlespeech-developers'
 
 # The full version, including alpha/beta/rc tags
 release = '2.1'

docs/source/index.rst

-Welcome to paddle Deepspeech documentation !
+Welcome to paddle PaddleSpeech documentation !
 ==============================================
 
-**Deepspeech** is a Speech toolkits implemented by paddlepaddle.
+**PaddleSpeech** is a Speech toolkits implemented by paddlepaddle.
 
 
 Contents

docs/source/tts/advanced_usage.md

@@ -67,7 +67,7 @@ There are two common ways to define a model which consists of several modules.
     ```
     When a model is a complicated and made up of several components, each of which has a separate functionality, and can be replaced by other components with the same functionality, we prefer to define it in this way.
 
-In the directory structure of PaddleSpeech TTS, modules with high reusability are placed in `parakeet.modules`, but models for specific tasks are placed in `parakeet.models`. When developing a new model, developers need to consider the feasibility of splitting the modules, and the degree of generality of the modules, and place them in appropriate directories.
+In the directory structure of PaddleSpeech TTS, modules with high reusability are placed in `paddlespeech.t2s.modules`, but models for specific tasks are placed in `paddlespeech.t2s.models`. When developing a new model, developers need to consider the feasibility of splitting the modules, and the degree of generality of the modules, and place them in appropriate directories.
 
 ## PaddleSpeech TTS's Data Components
 Another critical componnet for a deep learning project is data.
@@ -93,7 +93,7 @@ Then we need to select a format for saving metadata to the hard disk. There are
 
 Meanwhile, `cache` is added here, and a multi-process Manager is used to share memory between multiple processes. When `num_workers` is used, it is guaranteed that each sub process will not cache a copy.
 
-The implementation of `DataTable` can be found in `parakeet/datasets/data_table.py`.
+The implementation of `DataTable` can be found in `paddlespeech/t2s/datasets/data_table.py`.
 ```python
 class DataTable(Dataset):
     """Dataset to load and convert data for general purpose.
@@ -179,9 +179,9 @@ We think this method is a little ugly. We prefer to return the necessary informa
 
 It takes advantage of the globality of Python's module level variables and the effect of context manager.
 
-There is a module level variable in  `parakeet/training/reporter.py`  `OBSERVATIONS`，which is  a `Dict` to store key-value.
+There is a module level variable in  `paddlespeech/t2s/training/reporter.py`  `OBSERVATIONS`，which is  a `Dict` to store key-value.
 ```python
-# parakeet/training/reporter.py
+# paddlespeech/t2s/training/reporter.py
 
 @contextlib.contextmanager
 def scope(observations):

docs/source/tts/quick_start.md

@@ -102,9 +102,9 @@ import numpy as np
 import paddle
 import yaml
 from yacs.config import CfgNode
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.modules.normalizer import ZScore
 # examples/fastspeech2/baker/frontend.py
 from frontend import Frontend
 
@@ -161,9 +161,9 @@ import paddle
 import soundfile as sf
 import yaml
 from yacs.config import CfgNode
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 # load the pretrained model
 checkpoint_dir = Path("parallel_wavegan_baker_ckpt_0.4")

examples/aishell/s0/path.sh

@@ -11,4 +11,4 @@ export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 MODEL=deepspeech2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/aishell/s1/path.sh

@@ -12,7 +12,7 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 # model exp
 MODEL=u2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin
 
 
 # srilm

examples/aishell3/tts3/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=fastspeech2
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/aishell3/vc0/README.md

@@ -39,7 +39,7 @@ There are silence in the edge of AISHELL-3's wavs, and the audio amplitude is ve
 
 We use Montreal Force Aligner 1.0. The label in  aishell3 include pinyin，so the lexicon we provided to MFA is pinyin rather than Chinese characters. And the prosody marks(`$`  and `%`) need to be removed. You shoud preprocess the dataset into the format  which MFA needs, the texts have the same name with wavs and have the suffix `.lab`.
 
-We use [lexicon.txt](https://github.com/PaddlePaddle/DeepSpeech/blob/develop/parakeet/exps/voice_cloning/tacotron2_ge2e/lexicon.txt) as the lexicon.
+We use [lexicon.txt](https://github.com/PaddlePaddle/DeepSpeech/blob/develop/paddlespeech/t2s/exps/voice_cloning/tacotron2_ge2e/lexicon.txt) as the lexicon.
 
 You can download the alignment results from here [alignment_aishell3.tar.gz](https://paddlespeech.bj.bcebos.com/Parakeet/alignment_aishell3.tar.gz), or train your own MFA model reference to [use_mfa example](https://github.com/PaddlePaddle/DeepSpeech/tree/develop/examples/other/use_mfa) (use MFA1.x now) of our repo.
 

examples/aishell3/vc0/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=voice_cloning/tacotron2_ge2e
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/callcenter/s1/path.sh

@@ -12,4 +12,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=u2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/csmsc/tts2/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=speedyspeech
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}
\ No newline at end of file

examples/csmsc/tts3/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=fastspeech2
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/csmsc/voc1/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=parallelwave_gan
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/gan_vocoder/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/gan_vocoder/${MODEL}
\ No newline at end of file

examples/csmsc/voc3/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=multi_band_melgan
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/gan_vocoder/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/gan_vocoder/${MODEL}
\ No newline at end of file

examples/librispeech/s0/path.sh

@@ -12,4 +12,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=deepspeech2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/librispeech/s1/path.sh

@@ -12,4 +12,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=u2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/librispeech/s2/path.sh

@@ -12,7 +12,7 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=u2_kaldi
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin
 
 # srilm
 export LIBLBFGS=${MAIN_ROOT}/tools/liblbfgs-1.10

examples/ljspeech/tts0/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=tacotron2
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/ljspeech/tts1/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=transformer_tts
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/ljspeech/tts3/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=fastspeech2
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/ljspeech/voc0/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=waveflow
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}
\ No newline at end of file

examples/ljspeech/voc1/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=parallelwave_gan
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/gan_vocoder/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/gan_vocoder/${MODEL}
\ No newline at end of file

examples/other/1xt2x/src_deepspeech2x/__init__.py

@@ -21,7 +21,7 @@ from paddle import nn
 from paddle.fluid import core
 from paddle.nn import functional as F
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 #TODO(Hui Zhang): remove  fluid import
 logger = Log(__name__).getlog()

examples/other/1xt2x/src_deepspeech2x/bin/test.py

@@ -14,9 +14,9 @@
 """Evaluation for DeepSpeech2 model."""
 from src_deepspeech2x.test_model import DeepSpeech2Tester as Tester
 
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

examples/other/1xt2x/src_deepspeech2x/models/ds2/deepspeech2.py

@@ -19,11 +19,11 @@ from paddle import nn
 from src_deepspeech2x.models.ds2.rnn import RNNStack
 from yacs.config import CfgNode
 
-from deepspeech.models.ds2.conv import ConvStack
-from deepspeech.modules.ctc import CTCDecoder
-from deepspeech.utils import layer_tools
-from deepspeech.utils.checkpoint import Checkpoint
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.models.ds2.conv import ConvStack
+from paddlespeech.s2t.modules.ctc import CTCDecoder
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.checkpoint import Checkpoint
+from paddlespeech.s2t.utils.log import Log
 logger = Log(__name__).getlog()
 
 __all__ = ['DeepSpeech2Model', 'DeepSpeech2InferModel']

examples/other/1xt2x/src_deepspeech2x/models/ds2/rnn.py

@@ -18,9 +18,9 @@ from paddle import nn
 from paddle.nn import functional as F
 from paddle.nn import initializer as I
 
-from deepspeech.modules.activation import brelu
-from deepspeech.modules.mask import make_non_pad_mask
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.modules.activation import brelu
+from paddlespeech.s2t.modules.mask import make_non_pad_mask
+from paddlespeech.s2t.utils.log import Log
 logger = Log(__name__).getlog()
 
 __all__ = ['RNNStack']

examples/other/1xt2x/src_deepspeech2x/test_model.py

@@ -26,19 +26,19 @@ from src_deepspeech2x.models.ds2 import DeepSpeech2InferModel
 from src_deepspeech2x.models.ds2 import DeepSpeech2Model
 from yacs.config import CfgNode
 
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.io.sampler import SortagradBatchSampler
-from deepspeech.io.sampler import SortagradDistributedBatchSampler
-from deepspeech.models.ds2_online import DeepSpeech2InferModelOnline
-from deepspeech.models.ds2_online import DeepSpeech2ModelOnline
-from deepspeech.training.gradclip import ClipGradByGlobalNormWithLog
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils import error_rate
-from deepspeech.utils import layer_tools
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.io.sampler import SortagradBatchSampler
+from paddlespeech.s2t.io.sampler import SortagradDistributedBatchSampler
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2InferModelOnline
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2ModelOnline
+from paddlespeech.s2t.training.gradclip import ClipGradByGlobalNormWithLog
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils import error_rate
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

examples/other/ge2e/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=ge2e
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/other/text_frontend/test_g2p.py

@@ -15,8 +15,8 @@ import argparse
 import re
 from pathlib import Path
 
-from parakeet.frontend.zh_frontend import Frontend as zhFrontend
-from parakeet.utils.error_rate import word_errors
+from paddlespeech.t2s.frontend.zh_frontend import Frontend as zhFrontend
+from paddlespeech.t2s.utils.error_rate import word_errors
 
 SILENCE_TOKENS = {"sp", "sil", "sp1", "spl"}
 

examples/other/text_frontend/test_textnorm.py

@@ -15,8 +15,8 @@ import argparse
 import re
 from pathlib import Path
 
-from parakeet.frontend.zh_normalization.text_normlization import TextNormalizer
-from parakeet.utils.error_rate import char_errors
+from paddlespeech.t2s.frontend.zh_normalization.text_normlization import TextNormalizer
+from paddlespeech.t2s.utils.error_rate import char_errors
 
 
 # delete english characters

examples/ted_en_zh/t0/path.sh

@@ -12,4 +12,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=u2_st
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/timit/s1/path.sh

@@ -12,4 +12,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=u2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/tiny/s0/path.sh

@@ -11,4 +11,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=deepspeech2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/tiny/s1/path.sh

@@ -11,4 +11,4 @@ export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib/
 
 
 MODEL=u2
-export BIN_DIR=${MAIN_ROOT}/deepspeech/exps/${MODEL}/bin
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/s2t/exps/${MODEL}/bin

examples/vctk/tts3/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=fastspeech2
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL}

examples/vctk/voc1/path.sh

@@ -10,4 +10,4 @@ export PYTHONIOENCODING=UTF-8
 export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
 
 MODEL=parallelwave_gan
-export BIN_DIR=${MAIN_ROOT}/parakeet/exps/gan_vocoder/${MODEL}
+export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/gan_vocoder/${MODEL}
\ No newline at end of file

hub/setup_hub.sh

@@ -52,7 +52,7 @@ fi
 # install decoders
 python3 -c "import pkg_resources; pkg_resources.require(\"swig_decoders==1.1\")"
 if [ $? != 0 ]; then
-    cd deepspeech/decoders/swig > /dev/null
+    cd paddlespeech/s2t/decoders/swig > /dev/null
     sh setup.sh
     cd - > /dev/null
 fi

deepspeech/__init__.py → paddlespeech/s2t/__init__.py

@@ -21,7 +21,7 @@ from paddle import nn
 from paddle.fluid import core
 from paddle.nn import functional as F
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 #TODO(Hui Zhang): remove  fluid import
 logger = Log(__name__).getlog()

deepspeech/decoders/beam_search/beam_search.py → paddlespeech/s2t/decoders/beam_search/beam_search.py

@@ -25,7 +25,7 @@ import paddle
 from ..scorers.scorer_interface import PartialScorerInterface
 from ..scorers.scorer_interface import ScorerInterface
 from ..utils import end_detect
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/decoders/ctcdecoder/tests/test_decoders.py → paddlespeech/s2t/decoders/ctcdecoder/tests/test_decoders.py

@@ -14,7 +14,7 @@
 """Test decoders."""
 import unittest
 
-from deepspeech.decoders import decoders_deprecated as decoder
+from paddlespeech.s2t.decoders import decoders_deprecated as decoder
 
 
 class TestDecoders(unittest.TestCase):

deepspeech/decoders/recog.py → paddlespeech/s2t/decoders/recog.py

@@ -21,11 +21,11 @@ from .beam_search import BeamSearch
 from .scorers.length_bonus import LengthBonus
 from .scorers.scorer_interface import BatchScorerInterface
 from .utils import add_results_to_json
-from deepspeech.exps import dynamic_import_tester
-from deepspeech.io.reader import LoadInputsAndTargets
-from deepspeech.models.asr_interface import ASRInterface
-from deepspeech.models.lm_interface import dynamic_import_lm
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.exps import dynamic_import_tester
+from paddlespeech.s2t.io.reader import LoadInputsAndTargets
+from paddlespeech.s2t.models.asr_interface import ASRInterface
+from paddlespeech.s2t.models.lm_interface import dynamic_import_lm
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/decoders/recog_bin.py → paddlespeech/s2t/decoders/recog_bin.py

@@ -357,7 +357,7 @@ def main(args):
         if args.num_encs == 1:
             # Experimental API that supports custom LMs
             if args.api == "v2":
-                from deepspeech.decoders.recog import recog_v2
+                from paddlespeech.s2t.decoders.recog import recog_v2
                 recog_v2(args)
             else:
                 raise ValueError("Only support --api v2")

deepspeech/decoders/scorers/ctc.py → paddlespeech/s2t/decoders/scorers/ctc.py

@@ -28,7 +28,7 @@ class CTCPrefixScorer(BatchPartialScorerInterface):
 
         Args:
             ctc (paddle.nn.Layer): The CTC implementation.
-                For example, :class:`deepspeech.modules.ctc.CTC`
+                For example, :class:`paddlespeech.s2t.modules.ctc.CTC`
             eos (int): The end-of-sequence id.
 
         """

deepspeech/decoders/utils.py → paddlespeech/s2t/decoders/utils.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import numpy as np
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 logger = Log(__name__).getlog()
 
 __all__ = ["end_detect", "parse_hypothesis", "add_results_to_json"]

deepspeech/exps/__init__.py → paddlespeech/s2t/exps/__init__.py

@@ -11,14 +11,14 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
 
 model_trainer_alias = {
-    "ds2": "deepspeech.exp.deepspeech2.model:DeepSpeech2Trainer",
-    "u2": "deepspeech.exps.u2.model:U2Trainer",
-    "u2_kaldi": "deepspeech.exps.u2_kaldi.model:U2Trainer",
-    "u2_st": "deepspeech.exps.u2_st.model:U2STTrainer",
+    "ds2": "paddlespeech.s2t.exp.deepspeech2.model:DeepSpeech2Trainer",
+    "u2": "paddlespeech.s2t.exps.u2.model:U2Trainer",
+    "u2_kaldi": "paddlespeech.s2t.exps.u2_kaldi.model:U2Trainer",
+    "u2_st": "paddlespeech.s2t.exps.u2_st.model:U2STTrainer",
 }
 
 
@@ -39,10 +39,10 @@ def dynamic_import_trainer(module):
 
 
 model_tester_alias = {
-    "ds2": "deepspeech.exp.deepspeech2.model:DeepSpeech2Tester",
-    "u2": "deepspeech.exps.u2.model:U2Tester",
-    "u2_kaldi": "deepspeech.exps.u2_kaldi.model:U2Tester",
-    "u2_st": "deepspeech.exps.u2_st.model:U2STTester",
+    "ds2": "paddlespeech.s2t.exp.deepspeech2.model:DeepSpeech2Tester",
+    "u2": "paddlespeech.s2t.exps.u2.model:U2Tester",
+    "u2_kaldi": "paddlespeech.s2t.exps.u2_kaldi.model:U2Tester",
+    "u2_st": "paddlespeech.s2t.exps.u2_st.model:U2STTester",
 }
 
 

deepspeech/exps/deepspeech2/bin/deploy/client.py → paddlespeech/s2t/exps/deepspeech2/bin/deploy/client.py

@@ -18,7 +18,7 @@ import sys
 import keyboard
 import pyaudio
 
-from deepspeech.utils.socket_server import socket_send
+from paddlespeech.s2t.utils.socket_server import socket_send
 
 parser = argparse.ArgumentParser(description=__doc__)
 parser.add_argument(

deepspeech/exps/deepspeech2/bin/deploy/runtime.py → paddlespeech/s2t/exps/deepspeech2/bin/deploy/runtime.py

@@ -20,16 +20,16 @@ from paddle.inference import Config
 from paddle.inference import create_predictor
 from paddle.io import DataLoader
 
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.models.ds2 import DeepSpeech2Model
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.socket_server import AsrRequestHandler
-from deepspeech.utils.socket_server import AsrTCPServer
-from deepspeech.utils.socket_server import warm_up_test
-from deepspeech.utils.utility import add_arguments
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.socket_server import AsrRequestHandler
+from paddlespeech.s2t.utils.socket_server import AsrTCPServer
+from paddlespeech.s2t.utils.socket_server import warm_up_test
+from paddlespeech.s2t.utils.utility import add_arguments
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def init_predictor(args):

deepspeech/exps/deepspeech2/bin/deploy/send.py → paddlespeech/s2t/exps/deepspeech2/bin/deploy/send.py

@@ -15,7 +15,7 @@
 import argparse
 import wave
 
-from deepspeech.utils.socket_server import socket_send
+from paddlespeech.s2t.utils.socket_server import socket_send
 
 parser = argparse.ArgumentParser(description=__doc__)
 parser.add_argument(

deepspeech/exps/deepspeech2/bin/deploy/server.py → paddlespeech/s2t/exps/deepspeech2/bin/deploy/server.py

@@ -18,16 +18,16 @@ import numpy as np
 import paddle
 from paddle.io import DataLoader
 
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.models.ds2 import DeepSpeech2Model
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.socket_server import AsrRequestHandler
-from deepspeech.utils.socket_server import AsrTCPServer
-from deepspeech.utils.socket_server import warm_up_test
-from deepspeech.utils.utility import add_arguments
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.socket_server import AsrRequestHandler
+from paddlespeech.s2t.utils.socket_server import AsrTCPServer
+from paddlespeech.s2t.utils.socket_server import warm_up_test
+from paddlespeech.s2t.utils.utility import add_arguments
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def start_server(config, args):

deepspeech/exps/deepspeech2/bin/export.py → paddlespeech/s2t/exps/deepspeech2/bin/export.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Export for DeepSpeech2 model."""
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.exps.deepspeech2.model import DeepSpeech2Tester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2Tester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/deepspeech2/bin/test.py → paddlespeech/s2t/exps/deepspeech2/bin/test.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Evaluation for DeepSpeech2 model."""
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.exps.deepspeech2.model import DeepSpeech2Tester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2Tester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/deepspeech2/bin/test_export.py → paddlespeech/s2t/exps/deepspeech2/bin/test_export.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Evaluation for DeepSpeech2 model."""
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.exps.deepspeech2.model import DeepSpeech2ExportTester as ExportTester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2ExportTester as ExportTester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/deepspeech2/bin/test_hub.py → paddlespeech/s2t/exps/deepspeech2/bin/test_hub.py

@@ -19,17 +19,17 @@ from pathlib import Path
 import paddle
 import soundfile
 
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.models.ds2 import DeepSpeech2Model
-from deepspeech.models.ds2_online import DeepSpeech2ModelOnline
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils import mp_tools
-from deepspeech.utils.checkpoint import Checkpoint
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import print_arguments
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2ModelOnline
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.checkpoint import Checkpoint
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import print_arguments
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 logger = Log(__name__).getlog()
 

deepspeech/exps/deepspeech2/bin/train.py → paddlespeech/s2t/exps/deepspeech2/bin/train.py

@@ -14,10 +14,10 @@
 """Trainer for DeepSpeech2 model."""
 from paddle import distributed as dist
 
-from deepspeech.exps.deepspeech2.config import get_cfg_defaults
-from deepspeech.exps.deepspeech2.model import DeepSpeech2Trainer as Trainer
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.deepspeech2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2Trainer as Trainer
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/deepspeech2/config.py → paddlespeech/s2t/exps/deepspeech2/config.py

@@ -13,12 +13,12 @@
 # limitations under the License.
 from yacs.config import CfgNode
 
-from deepspeech.exps.deepspeech2.model import DeepSpeech2Tester
-from deepspeech.exps.deepspeech2.model import DeepSpeech2Trainer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.models.ds2 import DeepSpeech2Model
-from deepspeech.models.ds2_online import DeepSpeech2ModelOnline
+from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2Tester
+from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2Trainer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2ModelOnline
 
 
 def get_cfg_defaults(model_type='offline'):

deepspeech/exps/deepspeech2/model.py → paddlespeech/s2t/exps/deepspeech2/model.py

@@ -26,25 +26,25 @@ from paddle import inference
 from paddle.io import DataLoader
 from yacs.config import CfgNode
 
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.io.sampler import SortagradBatchSampler
-from deepspeech.io.sampler import SortagradDistributedBatchSampler
-from deepspeech.models.ds2 import DeepSpeech2InferModel
-from deepspeech.models.ds2 import DeepSpeech2Model
-from deepspeech.models.ds2_online import DeepSpeech2InferModelOnline
-from deepspeech.models.ds2_online import DeepSpeech2ModelOnline
-from deepspeech.training.gradclip import ClipGradByGlobalNormWithLog
-from deepspeech.training.reporter import report
-from deepspeech.training.timer import Timer
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils import error_rate
-from deepspeech.utils import layer_tools
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Autolog
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.io.sampler import SortagradBatchSampler
+from paddlespeech.s2t.io.sampler import SortagradDistributedBatchSampler
+from paddlespeech.s2t.models.ds2 import DeepSpeech2InferModel
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2InferModelOnline
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2ModelOnline
+from paddlespeech.s2t.training.gradclip import ClipGradByGlobalNormWithLog
+from paddlespeech.s2t.training.reporter import report
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils import error_rate
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Autolog
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 logger = Log(__name__).getlog()
 

deepspeech/exps/lm/transformer/bin/cacu_perplexity.py → paddlespeech/s2t/exps/lm/transformer/bin/cacu_perplexity.py

@@ -74,7 +74,7 @@ def get_parser():
 def main(args):
     parser = get_parser()
     args = parser.parse_args(args)
-    from deepspeech.exps.lm.transformer.lm_cacu_perplexity import run_get_perplexity
+    from paddlespeech.s2t.exps.lm.transformer.lm_cacu_perplexity import run_get_perplexity
     run_get_perplexity(args)
 
 

deepspeech/exps/lm/transformer/lm_cacu_perplexity.py → paddlespeech/s2t/exps/lm/transformer/lm_cacu_perplexity.py

@@ -19,10 +19,10 @@ import paddle
 from paddle.io import DataLoader
 from yacs.config import CfgNode
 
-from deepspeech.io.collator import TextCollatorSpm
-from deepspeech.io.dataset import TextDataset
-from deepspeech.models.lm_interface import dynamic_import_lm
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.io.collator import TextCollatorSpm
+from paddlespeech.s2t.io.dataset import TextDataset
+from paddlespeech.s2t.models.lm_interface import dynamic_import_lm
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/exps/u2/bin/alignment.py → paddlespeech/s2t/exps/u2/bin/alignment.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Alignment for U2 model."""
-from deepspeech.exps.u2.config import get_cfg_defaults
-from deepspeech.exps.u2.model import U2Tester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2.model import U2Tester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/u2_st/bin/export.py → paddlespeech/s2t/exps/u2/bin/export.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Export for U2 model."""
-from deepspeech.exps.u2_st.config import get_cfg_defaults
-from deepspeech.exps.u2_st.model import U2STTester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2.model import U2Tester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/u2/bin/test.py → paddlespeech/s2t/exps/u2/bin/test.py

@@ -14,10 +14,10 @@
 """Evaluation for U2 model."""
 import cProfile
 
-from deepspeech.exps.u2.config import get_cfg_defaults
-from deepspeech.exps.u2.model import U2Tester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2.model import U2Tester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 # TODO(hui zhang): dynamic load 
 

deepspeech/exps/u2/bin/test_hub.py → paddlespeech/s2t/exps/u2/bin/test_hub.py

@@ -19,17 +19,17 @@ import sys
 import paddle
 import soundfile
 
-from deepspeech.exps.u2.config import get_cfg_defaults
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.models.u2 import U2Model
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils import layer_tools
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import print_arguments
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.exps.u2.config import get_cfg_defaults
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.models.u2 import U2Model
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import print_arguments
+from paddlespeech.s2t.utils.utility import UpdateConfig
 logger = Log(__name__).getlog()
 
 # TODO(hui zhang): dynamic load

deepspeech/exps/u2/bin/train.py → paddlespeech/s2t/exps/u2/bin/train.py

@@ -17,12 +17,12 @@ import os
 
 from paddle import distributed as dist
 
-from deepspeech.exps.u2.config import get_cfg_defaults
-from deepspeech.exps.u2.model import U2Trainer as Trainer
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2.model import U2Trainer as Trainer
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
-# from deepspeech.exps.u2.trainer import U2Trainer as Trainer
+# from paddlespeech.s2t.exps.u2.trainer import U2Trainer as Trainer
 
 
 def main_sp(config, args):

deepspeech/exps/u2/config.py → paddlespeech/s2t/exps/u2/config.py

@@ -13,11 +13,11 @@
 # limitations under the License.
 from yacs.config import CfgNode
 
-from deepspeech.exps.u2.model import U2Tester
-from deepspeech.exps.u2.model import U2Trainer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.models.u2 import U2Model
+from paddlespeech.s2t.exps.u2.model import U2Tester
+from paddlespeech.s2t.exps.u2.model import U2Trainer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.models.u2 import U2Model
 
 _C = CfgNode()
 

deepspeech/exps/u2/model.py → paddlespeech/s2t/exps/u2/model.py

@@ -27,23 +27,23 @@ from paddle import distributed as dist
 from paddle.io import DataLoader
 from yacs.config import CfgNode
 
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.io.sampler import SortagradBatchSampler
-from deepspeech.io.sampler import SortagradDistributedBatchSampler
-from deepspeech.models.u2 import U2Model
-from deepspeech.training.optimizer import OptimizerFactory
-from deepspeech.training.reporter import ObsScope
-from deepspeech.training.reporter import report
-from deepspeech.training.scheduler import LRSchedulerFactory
-from deepspeech.training.timer import Timer
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils import ctc_utils
-from deepspeech.utils import error_rate
-from deepspeech.utils import layer_tools
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.io.sampler import SortagradBatchSampler
+from paddlespeech.s2t.io.sampler import SortagradDistributedBatchSampler
+from paddlespeech.s2t.models.u2 import U2Model
+from paddlespeech.s2t.training.optimizer import OptimizerFactory
+from paddlespeech.s2t.training.reporter import ObsScope
+from paddlespeech.s2t.training.reporter import report
+from paddlespeech.s2t.training.scheduler import LRSchedulerFactory
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils import ctc_utils
+from paddlespeech.s2t.utils import error_rate
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 logger = Log(__name__).getlog()
 
@@ -566,7 +566,7 @@ class U2Tester(U2Trainer):
             nn.Layer: inference model
             List[paddle.static.InputSpec]: input spec.
         """
-        from deepspeech.models.u2 import U2InferModel
+        from paddlespeech.s2t.models.u2 import U2InferModel
         infer_model = U2InferModel.from_pretrained(self.test_loader,
                                                    self.config.model.clone(),
                                                    self.args.checkpoint_path)

deepspeech/exps/u2/trainer.py → paddlespeech/s2t/exps/u2/trainer.py

@@ -16,23 +16,23 @@ import paddle
 from paddle import distributed as dist
 from paddle.io import DataLoader
 
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.io.sampler import SortagradBatchSampler
-from deepspeech.io.sampler import SortagradDistributedBatchSampler
-from deepspeech.models.u2 import U2Evaluator
-from deepspeech.models.u2 import U2Model
-from deepspeech.models.u2 import U2Updater
-from deepspeech.training.extensions.snapshot import Snapshot
-from deepspeech.training.extensions.visualizer import VisualDL
-from deepspeech.training.optimizer import OptimizerFactory
-from deepspeech.training.scheduler import LRSchedulerFactory
-from deepspeech.training.timer import Timer
-from deepspeech.training.trainer import Trainer
-from deepspeech.training.updaters.trainer import Trainer as NewTrainer
-from deepspeech.utils import layer_tools
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.io.sampler import SortagradBatchSampler
+from paddlespeech.s2t.io.sampler import SortagradDistributedBatchSampler
+from paddlespeech.s2t.models.u2 import U2Evaluator
+from paddlespeech.s2t.models.u2 import U2Model
+from paddlespeech.s2t.models.u2 import U2Updater
+from paddlespeech.s2t.training.extensions.snapshot import Snapshot
+from paddlespeech.s2t.training.extensions.visualizer import VisualDL
+from paddlespeech.s2t.training.optimizer import OptimizerFactory
+from paddlespeech.s2t.training.scheduler import LRSchedulerFactory
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.training.updaters.trainer import Trainer as NewTrainer
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 logger = Log(__name__).getlog()
 

deepspeech/exps/u2_kaldi/bin/recog.py → paddlespeech/s2t/exps/u2_kaldi/bin/recog.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import sys
 
-from deepspeech.decoders.recog_bin import main
+from paddlespeech.s2t.decoders.recog_bin import main
 
 if __name__ == "__main__":
     main(sys.argv[1:])

deepspeech/exps/u2_kaldi/bin/test.py → paddlespeech/s2t/exps/u2_kaldi/bin/test.py

@@ -16,13 +16,13 @@ import cProfile
 
 from yacs.config import CfgNode
 
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.dynamic_import import dynamic_import
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.utility import print_arguments
 
 model_test_alias = {
-    "u2": "deepspeech.exps.u2.model:U2Tester",
-    "u2_kaldi": "deepspeech.exps.u2_kaldi.model:U2Tester",
+    "u2": "paddlespeech.s2t.exps.u2.model:U2Tester",
+    "u2_kaldi": "paddlespeech.s2t.exps.u2_kaldi.model:U2Tester",
 }
 
 

deepspeech/exps/u2_kaldi/bin/train.py → paddlespeech/s2t/exps/u2_kaldi/bin/train.py

@@ -18,13 +18,13 @@ import os
 from paddle import distributed as dist
 from yacs.config import CfgNode
 
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.dynamic_import import dynamic_import
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.utility import print_arguments
 
 model_train_alias = {
-    "u2": "deepspeech.exps.u2.model:U2Trainer",
-    "u2_kaldi": "deepspeech.exps.u2_kaldi.model:U2Trainer",
+    "u2": "paddlespeech.s2t.exps.u2.model:U2Trainer",
+    "u2_kaldi": "paddlespeech.s2t.exps.u2_kaldi.model:U2Trainer",
 }
 
 

deepspeech/exps/u2_kaldi/model.py → paddlespeech/s2t/exps/u2_kaldi/model.py

@@ -25,20 +25,20 @@ import paddle
 from paddle import distributed as dist
 from yacs.config import CfgNode
 
-from deepspeech.frontend.featurizer import TextFeaturizer
-from deepspeech.frontend.utility import load_dict
-from deepspeech.io.dataloader import BatchDataLoader
-from deepspeech.models.u2 import U2Model
-from deepspeech.training.optimizer import OptimizerFactory
-from deepspeech.training.scheduler import LRSchedulerFactory
-from deepspeech.training.timer import Timer
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils import ctc_utils
-from deepspeech.utils import error_rate
-from deepspeech.utils import layer_tools
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.frontend.featurizer import TextFeaturizer
+from paddlespeech.s2t.frontend.utility import load_dict
+from paddlespeech.s2t.io.dataloader import BatchDataLoader
+from paddlespeech.s2t.models.u2 import U2Model
+from paddlespeech.s2t.training.optimizer import OptimizerFactory
+from paddlespeech.s2t.training.scheduler import LRSchedulerFactory
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils import ctc_utils
+from paddlespeech.s2t.utils import error_rate
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 logger = Log(__name__).getlog()
 
@@ -539,7 +539,7 @@ class U2Tester(U2Trainer):
             nn.Layer: inference model
             List[paddle.static.InputSpec]: input spec.
         """
-        from deepspeech.models.u2 import U2InferModel
+        from paddlespeech.s2t.models.u2 import U2InferModel
         infer_model = U2InferModel.from_pretrained(self.test_loader,
                                                    self.config.model.clone(),
                                                    self.args.checkpoint_path)

deepspeech/exps/u2/bin/export.py → paddlespeech/s2t/exps/u2_st/bin/export.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Export for U2 model."""
-from deepspeech.exps.u2.config import get_cfg_defaults
-from deepspeech.exps.u2.model import U2Tester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2_st.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2_st.model import U2STTester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/u2_st/bin/test.py → paddlespeech/s2t/exps/u2_st/bin/test.py

@@ -14,10 +14,10 @@
 """Evaluation for U2 model."""
 import cProfile
 
-from deepspeech.exps.u2_st.config import get_cfg_defaults
-from deepspeech.exps.u2_st.model import U2STTester as Tester
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2_st.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2_st.model import U2STTester as Tester
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 # TODO(hui zhang): dynamic load 
 

deepspeech/exps/u2_st/bin/train.py → paddlespeech/s2t/exps/u2_st/bin/train.py

@@ -17,10 +17,10 @@ import os
 
 from paddle import distributed as dist
 
-from deepspeech.exps.u2_st.config import get_cfg_defaults
-from deepspeech.exps.u2_st.model import U2STTrainer as Trainer
-from deepspeech.training.cli import default_argument_parser
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.exps.u2_st.config import get_cfg_defaults
+from paddlespeech.s2t.exps.u2_st.model import U2STTrainer as Trainer
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.utility import print_arguments
 
 
 def main_sp(config, args):

deepspeech/exps/u2_st/config.py → paddlespeech/s2t/exps/u2_st/config.py

@@ -13,11 +13,11 @@
 # limitations under the License.
 from yacs.config import CfgNode
 
-from deepspeech.exps.u2_st.model import U2STTester
-from deepspeech.exps.u2_st.model import U2STTrainer
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.models.u2_st import U2STModel
+from paddlespeech.s2t.exps.u2_st.model import U2STTester
+from paddlespeech.s2t.exps.u2_st.model import U2STTrainer
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.models.u2_st import U2STModel
 
 _C = CfgNode()
 

deepspeech/exps/u2_st/model.py → paddlespeech/s2t/exps/u2_st/model.py

@@ -26,22 +26,22 @@ from paddle import distributed as dist
 from paddle.io import DataLoader
 from yacs.config import CfgNode
 
-from deepspeech.io.collator import SpeechCollator
-from deepspeech.io.collator import TripletSpeechCollator
-from deepspeech.io.dataset import ManifestDataset
-from deepspeech.io.sampler import SortagradBatchSampler
-from deepspeech.io.sampler import SortagradDistributedBatchSampler
-from deepspeech.models.u2_st import U2STModel
-from deepspeech.training.gradclip import ClipGradByGlobalNormWithLog
-from deepspeech.training.scheduler import WarmupLR
-from deepspeech.training.timer import Timer
-from deepspeech.training.trainer import Trainer
-from deepspeech.utils import bleu_score
-from deepspeech.utils import ctc_utils
-from deepspeech.utils import layer_tools
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.io.collator import SpeechCollator
+from paddlespeech.s2t.io.collator import TripletSpeechCollator
+from paddlespeech.s2t.io.dataset import ManifestDataset
+from paddlespeech.s2t.io.sampler import SortagradBatchSampler
+from paddlespeech.s2t.io.sampler import SortagradDistributedBatchSampler
+from paddlespeech.s2t.models.u2_st import U2STModel
+from paddlespeech.s2t.training.gradclip import ClipGradByGlobalNormWithLog
+from paddlespeech.s2t.training.scheduler import WarmupLR
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.training.trainer import Trainer
+from paddlespeech.s2t.utils import bleu_score
+from paddlespeech.s2t.utils import ctc_utils
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 logger = Log(__name__).getlog()
 
@@ -555,7 +555,7 @@ class U2STTester(U2STTrainer):
             nn.Layer: inference model
             List[paddle.static.InputSpec]: input spec.
         """
-        from deepspeech.models.u2 import U2InferModel
+        from paddlespeech.s2t.models.u2 import U2InferModel
         infer_model = U2InferModel.from_pretrained(self.test_loader,
                                                    self.config.model.clone(),
                                                    self.args.checkpoint_path)

deepspeech/frontend/augmentor/augmentation.py → paddlespeech/s2t/frontend/augmentor/augmentation.py

@@ -20,23 +20,23 @@ from pprint import pformat
 
 import numpy as np
 
-from deepspeech.frontend.augmentor.base import AugmentorBase
-from deepspeech.utils.dynamic_import import dynamic_import
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 
 __all__ = ["AugmentationPipeline"]
 
 import_alias = dict(
-    volume="deepspeech.frontend.augmentor.impulse_response:VolumePerturbAugmentor",
-    shift="deepspeech.frontend.augmentor.shift_perturb:ShiftPerturbAugmentor",
-    speed="deepspeech.frontend.augmentor.speed_perturb:SpeedPerturbAugmentor",
-    resample="deepspeech.frontend.augmentor.resample:ResampleAugmentor",
-    bayesian_normal="deepspeech.frontend.augmentor.online_bayesian_normalization:OnlineBayesianNormalizationAugmentor",
-    noise="deepspeech.frontend.augmentor.noise_perturb:NoisePerturbAugmentor",
-    impulse="deepspeech.frontend.augmentor.impulse_response:ImpulseResponseAugmentor",
-    specaug="deepspeech.frontend.augmentor.spec_augment:SpecAugmentor", )
+    volume="paddlespeech.s2t.frontend.augmentor.impulse_response:VolumePerturbAugmentor",
+    shift="paddlespeech.s2t.frontend.augmentor.shift_perturb:ShiftPerturbAugmentor",
+    speed="paddlespeech.s2t.frontend.augmentor.speed_perturb:SpeedPerturbAugmentor",
+    resample="paddlespeech.s2t.frontend.augmentor.resample:ResampleAugmentor",
+    bayesian_normal="paddlespeech.s2t.frontend.augmentor.online_bayesian_normalization:OnlineBayesianNormalizationAugmentor",
+    noise="paddlespeech.s2t.frontend.augmentor.noise_perturb:NoisePerturbAugmentor",
+    impulse="paddlespeech.s2t.frontend.augmentor.impulse_response:ImpulseResponseAugmentor",
+    specaug="paddlespeech.s2t.frontend.augmentor.spec_augment:SpecAugmentor", )
 
 
 class AugmentationPipeline():

deepspeech/frontend/augmentor/impulse_response.py → paddlespeech/s2t/frontend/augmentor/impulse_response.py

@@ -12,9 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the impulse response augmentation model."""
-from deepspeech.frontend.audio import AudioSegment
-from deepspeech.frontend.augmentor.base import AugmentorBase
-from deepspeech.frontend.utility import read_manifest
+from paddlespeech.s2t.frontend.audio import AudioSegment
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.utility import read_manifest
 
 
 class ImpulseResponseAugmentor(AugmentorBase):

deepspeech/frontend/augmentor/noise_perturb.py → paddlespeech/s2t/frontend/augmentor/noise_perturb.py

@@ -12,9 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the noise perturb augmentation model."""
-from deepspeech.frontend.audio import AudioSegment
-from deepspeech.frontend.augmentor.base import AugmentorBase
-from deepspeech.frontend.utility import read_manifest
+from paddlespeech.s2t.frontend.audio import AudioSegment
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.utility import read_manifest
 
 
 class NoisePerturbAugmentor(AugmentorBase):

deepspeech/frontend/augmentor/online_bayesian_normalization.py → paddlespeech/s2t/frontend/augmentor/online_bayesian_normalization.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contain the online bayesian normalization augmentation model."""
-from deepspeech.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
 
 
 class OnlineBayesianNormalizationAugmentor(AugmentorBase):

deepspeech/frontend/augmentor/resample.py → paddlespeech/s2t/frontend/augmentor/resample.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contain the resample augmentation model."""
-from deepspeech.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
 
 
 class ResampleAugmentor(AugmentorBase):

deepspeech/frontend/augmentor/shift_perturb.py → paddlespeech/s2t/frontend/augmentor/shift_perturb.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the volume perturb augmentation model."""
-from deepspeech.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
 
 
 class ShiftPerturbAugmentor(AugmentorBase):

deepspeech/frontend/augmentor/spec_augment.py → paddlespeech/s2t/frontend/augmentor/spec_augment.py

@@ -18,8 +18,8 @@ import numpy as np
 from PIL import Image
 from PIL.Image import BICUBIC
 
-from deepspeech.frontend.augmentor.base import AugmentorBase
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/frontend/augmentor/speed_perturb.py → paddlespeech/s2t/frontend/augmentor/speed_perturb.py

@@ -14,7 +14,7 @@
 """Contain the speech perturbation augmentation model."""
 import numpy as np
 
-from deepspeech.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
 
 
 class SpeedPerturbAugmentor(AugmentorBase):

deepspeech/frontend/augmentor/volume_perturb.py → paddlespeech/s2t/frontend/augmentor/volume_perturb.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the volume perturb augmentation model."""
-from deepspeech.frontend.augmentor.base import AugmentorBase
+from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
 
 
 class VolumePerturbAugmentor(AugmentorBase):

deepspeech/frontend/featurizer/speech_featurizer.py → paddlespeech/s2t/frontend/featurizer/speech_featurizer.py

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the speech featurizer class."""
-from deepspeech.frontend.featurizer.audio_featurizer import AudioFeaturizer
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.frontend.featurizer.audio_featurizer import AudioFeaturizer
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
 
 
 class SpeechFeaturizer():

deepspeech/frontend/featurizer/text_featurizer.py → paddlespeech/s2t/frontend/featurizer/text_featurizer.py

@@ -23,7 +23,7 @@ from ..utility import MASKCTC
 from ..utility import SOS
 from ..utility import SPACE
 from ..utility import UNK
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/frontend/normalizer.py → paddlespeech/s2t/frontend/normalizer.py

@@ -19,10 +19,10 @@ import paddle
 from paddle.io import DataLoader
 from paddle.io import Dataset
 
-from deepspeech.frontend.audio import AudioSegment
-from deepspeech.frontend.utility import load_cmvn
-from deepspeech.frontend.utility import read_manifest
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.audio import AudioSegment
+from paddlespeech.s2t.frontend.utility import load_cmvn
+from paddlespeech.s2t.frontend.utility import read_manifest
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["FeatureNormalizer"]
 

deepspeech/frontend/speech.py → paddlespeech/s2t/frontend/speech.py

@@ -14,7 +14,7 @@
 """Contains the speech segment class."""
 import numpy as np
 
-from deepspeech.frontend.audio import AudioSegment
+from paddlespeech.s2t.frontend.audio import AudioSegment
 
 
 class SpeechSegment(AudioSegment):

deepspeech/frontend/utility.py → paddlespeech/s2t/frontend/utility.py

@@ -23,7 +23,7 @@ from typing import Text
 import jsonlines
 import numpy as np
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/io/batchfy.py → paddlespeech/s2t/io/batchfy.py

@@ -15,7 +15,7 @@ import itertools
 
 import numpy as np
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["make_batchset"]
 

deepspeech/io/collator.py → paddlespeech/s2t/io/collator.py

@@ -17,16 +17,16 @@ from typing import Optional
 import numpy as np
 from yacs.config import CfgNode
 
-from deepspeech.frontend.augmentor.augmentation import AugmentationPipeline
-from deepspeech.frontend.featurizer.speech_featurizer import SpeechFeaturizer
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.frontend.normalizer import FeatureNormalizer
-from deepspeech.frontend.speech import SpeechSegment
-from deepspeech.frontend.utility import IGNORE_ID
-from deepspeech.frontend.utility import TarLocalData
-from deepspeech.io.reader import LoadInputsAndTargets
-from deepspeech.io.utility import pad_list
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.augmentor.augmentation import AugmentationPipeline
+from paddlespeech.s2t.frontend.featurizer.speech_featurizer import SpeechFeaturizer
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.frontend.normalizer import FeatureNormalizer
+from paddlespeech.s2t.frontend.speech import SpeechSegment
+from paddlespeech.s2t.frontend.utility import IGNORE_ID
+from paddlespeech.s2t.frontend.utility import TarLocalData
+from paddlespeech.s2t.io.reader import LoadInputsAndTargets
+from paddlespeech.s2t.io.utility import pad_list
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["SpeechCollator", "TripletSpeechCollator"]
 

deepspeech/io/converter.py → paddlespeech/s2t/io/converter.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 import numpy as np
 
-from deepspeech.io.utility import pad_list
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.io.utility import pad_list
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["CustomConverter"]
 

deepspeech/io/dataloader.py → paddlespeech/s2t/io/dataloader.py

@@ -19,12 +19,12 @@ from typing import Text
 import numpy as np
 from paddle.io import DataLoader
 
-from deepspeech.frontend.utility import read_manifest
-from deepspeech.io.batchfy import make_batchset
-from deepspeech.io.converter import CustomConverter
-from deepspeech.io.dataset import TransformDataset
-from deepspeech.io.reader import LoadInputsAndTargets
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.utility import read_manifest
+from paddlespeech.s2t.io.batchfy import make_batchset
+from paddlespeech.s2t.io.converter import CustomConverter
+from paddlespeech.s2t.io.dataset import TransformDataset
+from paddlespeech.s2t.io.reader import LoadInputsAndTargets
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["BatchDataLoader"]
 

deepspeech/io/dataset.py → paddlespeech/s2t/io/dataset.py

@@ -16,8 +16,8 @@ from typing import Optional
 from paddle.io import Dataset
 from yacs.config import CfgNode
 
-from deepspeech.frontend.utility import read_manifest
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.utility import read_manifest
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["ManifestDataset", "TransformDataset"]
 

deepspeech/io/reader.py → paddlespeech/s2t/io/reader.py

@@ -17,8 +17,8 @@ import kaldiio
 import numpy as np
 import soundfile
 
-from deepspeech.frontend.augmentor.augmentation import AugmentationPipeline as Transformation
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.frontend.augmentor.augmentation import AugmentationPipeline as Transformation
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["LoadInputsAndTargets"]
 

deepspeech/io/sampler.py → paddlespeech/s2t/io/sampler.py

@@ -18,7 +18,7 @@ from paddle import distributed as dist
 from paddle.io import BatchSampler
 from paddle.io import DistributedBatchSampler
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = [
     "SortagradDistributedBatchSampler",

deepspeech/io/utility.py → paddlespeech/s2t/io/utility.py

@@ -15,7 +15,7 @@ from typing import List
 
 import numpy as np
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["pad_list", "pad_sequence"]
 

deepspeech/models/asr_interface.py → paddlespeech/s2t/models/asr_interface.py

@@ -14,7 +14,7 @@
 """ASR Interface module."""
 import argparse
 
-from deepspeech.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
 
 
 class ASRInterface:
@@ -103,14 +103,14 @@ class ASRInterface:
     @property
     def attention_plot_class(self):
         """Get attention plot class."""
-        from deepspeech.training.extensions.plot import PlotAttentionReport
+        from paddlespeech.s2t.training.extensions.plot import PlotAttentionReport
 
         return PlotAttentionReport
 
     @property
     def ctc_plot_class(self):
         """Get CTC plot class."""
-        from deepspeech.training.extensions.plot import PlotCTCReport
+        from paddlespeech.s2t.training.extensions.plot import PlotCTCReport
 
         return PlotCTCReport
 
@@ -140,8 +140,8 @@ class ASRInterface:
 
 
 predefined_asr = {
-    "transformer": "deepspeech.models.u2:U2Model",
-    "conformer": "deepspeech.models.u2:U2Model",
+    "transformer": "paddlespeech.s2t.models.u2:U2Model",
+    "conformer": "paddlespeech.s2t.models.u2:U2Model",
 }
 
 

deepspeech/models/ds2/conv.py → paddlespeech/s2t/models/ds2/conv.py

@@ -14,9 +14,9 @@
 from paddle import nn
 from paddle.nn import functional as F
 
-from deepspeech.modules.activation import brelu
-from deepspeech.modules.mask import make_non_pad_mask
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.modules.activation import brelu
+from paddlespeech.s2t.modules.mask import make_non_pad_mask
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/models/ds2/deepspeech2.py → paddlespeech/s2t/models/ds2/deepspeech2.py

@@ -18,12 +18,12 @@ import paddle
 from paddle import nn
 from yacs.config import CfgNode
 
-from deepspeech.models.ds2.conv import ConvStack
-from deepspeech.models.ds2.rnn import RNNStack
-from deepspeech.modules.ctc import CTCDecoder
-from deepspeech.utils import layer_tools
-from deepspeech.utils.checkpoint import Checkpoint
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.models.ds2.conv import ConvStack
+from paddlespeech.s2t.models.ds2.rnn import RNNStack
+from paddlespeech.s2t.modules.ctc import CTCDecoder
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.checkpoint import Checkpoint
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/models/ds2/rnn.py → paddlespeech/s2t/models/ds2/rnn.py

@@ -18,9 +18,9 @@ from paddle import nn
 from paddle.nn import functional as F
 from paddle.nn import initializer as I
 
-from deepspeech.modules.activation import brelu
-from deepspeech.modules.mask import make_non_pad_mask
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.modules.activation import brelu
+from paddlespeech.s2t.modules.mask import make_non_pad_mask
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/models/ds2_online/conv.py → paddlespeech/s2t/models/ds2_online/conv.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import paddle
 
-from deepspeech.modules.subsampling import Conv2dSubsampling4
+from paddlespeech.s2t.modules.subsampling import Conv2dSubsampling4
 
 
 class Conv2dSubsampling4Online(Conv2dSubsampling4):

deepspeech/models/ds2_online/deepspeech2.py → paddlespeech/s2t/models/ds2_online/deepspeech2.py

@@ -19,11 +19,11 @@ import paddle.nn.functional as F
 from paddle import nn
 from yacs.config import CfgNode
 
-from deepspeech.models.ds2_online.conv import Conv2dSubsampling4Online
-from deepspeech.modules.ctc import CTCDecoder
-from deepspeech.utils import layer_tools
-from deepspeech.utils.checkpoint import Checkpoint
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.models.ds2_online.conv import Conv2dSubsampling4Online
+from paddlespeech.s2t.modules.ctc import CTCDecoder
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.checkpoint import Checkpoint
+from paddlespeech.s2t.utils.log import Log
 logger = Log(__name__).getlog()
 
 __all__ = ['DeepSpeech2ModelOnline', 'DeepSpeech2InferModelOnline']

deepspeech/models/lm/transformer.py → paddlespeech/s2t/models/lm/transformer.py

@@ -20,11 +20,11 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 
-from deepspeech.decoders.scorers.scorer_interface import BatchScorerInterface
-from deepspeech.models.lm_interface import LMInterface
-from deepspeech.modules.encoder import TransformerEncoder
-from deepspeech.modules.mask import subsequent_mask
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.decoders.scorers.scorer_interface import BatchScorerInterface
+from paddlespeech.s2t.models.lm_interface import LMInterface
+from paddlespeech.s2t.modules.encoder import TransformerEncoder
+from paddlespeech.s2t.modules.mask import subsequent_mask
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/models/lm_interface.py → paddlespeech/s2t/models/lm_interface.py

@@ -14,8 +14,8 @@
 """Language model interface."""
 import argparse
 
-from deepspeech.decoders.scorers.scorer_interface import ScorerInterface
-from deepspeech.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.decoders.scorers.scorer_interface import ScorerInterface
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
 
 
 class LMInterface(ScorerInterface):
@@ -62,7 +62,7 @@ class LMInterface(ScorerInterface):
 
 
 predefined_lms = {
-    "transformer": "deepspeech.models.lm.transformer:TransformerLM",
+    "transformer": "paddlespeech.s2t.models.lm.transformer:TransformerLM",
 }
 
 

deepspeech/models/st_interface.py → paddlespeech/s2t/models/st_interface.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 """ST Interface module."""
 from .asr_interface import ASRInterface
-from deepspeech.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
 
 
 class STInterface(ASRInterface):
@@ -55,7 +55,7 @@ class STInterface(ASRInterface):
 
 
 predefined_st = {
-    "transformer": "deepspeech.models.u2_st:U2STModel",
+    "transformer": "paddlespeech.s2t.models.u2_st:U2STModel",
 }
 
 

deepspeech/models/u2/u2.py → paddlespeech/s2t/models/u2/u2.py

@@ -28,29 +28,29 @@ from paddle import jit
 from paddle import nn
 from yacs.config import CfgNode
 
-from deepspeech.decoders.scorers.ctc import CTCPrefixScorer
-from deepspeech.frontend.utility import IGNORE_ID
-from deepspeech.frontend.utility import load_cmvn
-from deepspeech.models.asr_interface import ASRInterface
-from deepspeech.modules.cmvn import GlobalCMVN
-from deepspeech.modules.ctc import CTCDecoder
-from deepspeech.modules.decoder import TransformerDecoder
-from deepspeech.modules.encoder import ConformerEncoder
-from deepspeech.modules.encoder import TransformerEncoder
-from deepspeech.modules.loss import LabelSmoothingLoss
-from deepspeech.modules.mask import make_pad_mask
-from deepspeech.modules.mask import mask_finished_preds
-from deepspeech.modules.mask import mask_finished_scores
-from deepspeech.modules.mask import subsequent_mask
-from deepspeech.utils import checkpoint
-from deepspeech.utils import layer_tools
-from deepspeech.utils.ctc_utils import remove_duplicates_and_blank
-from deepspeech.utils.log import Log
-from deepspeech.utils.tensor_utils import add_sos_eos
-from deepspeech.utils.tensor_utils import pad_sequence
-from deepspeech.utils.tensor_utils import th_accuracy
-from deepspeech.utils.utility import log_add
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.decoders.scorers.ctc import CTCPrefixScorer
+from paddlespeech.s2t.frontend.utility import IGNORE_ID
+from paddlespeech.s2t.frontend.utility import load_cmvn
+from paddlespeech.s2t.models.asr_interface import ASRInterface
+from paddlespeech.s2t.modules.cmvn import GlobalCMVN
+from paddlespeech.s2t.modules.ctc import CTCDecoder
+from paddlespeech.s2t.modules.decoder import TransformerDecoder
+from paddlespeech.s2t.modules.encoder import ConformerEncoder
+from paddlespeech.s2t.modules.encoder import TransformerEncoder
+from paddlespeech.s2t.modules.loss import LabelSmoothingLoss
+from paddlespeech.s2t.modules.mask import make_pad_mask
+from paddlespeech.s2t.modules.mask import mask_finished_preds
+from paddlespeech.s2t.modules.mask import mask_finished_scores
+from paddlespeech.s2t.modules.mask import subsequent_mask
+from paddlespeech.s2t.utils import checkpoint
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.ctc_utils import remove_duplicates_and_blank
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.tensor_utils import add_sos_eos
+from paddlespeech.s2t.utils.tensor_utils import pad_sequence
+from paddlespeech.s2t.utils.tensor_utils import th_accuracy
+from paddlespeech.s2t.utils.utility import log_add
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 __all__ = ["U2Model", "U2InferModel"]
 

deepspeech/models/u2/updater.py → paddlespeech/s2t/models/u2/updater.py

@@ -16,12 +16,12 @@ from contextlib import nullcontext
 import paddle
 from paddle import distributed as dist
 
-from deepspeech.training.extensions.evaluator import StandardEvaluator
-from deepspeech.training.reporter import report
-from deepspeech.training.timer import Timer
-from deepspeech.training.updaters.standard_updater import StandardUpdater
-from deepspeech.utils import layer_tools
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.training.extensions.evaluator import StandardEvaluator
+from paddlespeech.s2t.training.reporter import report
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.training.updaters.standard_updater import StandardUpdater
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/models/u2_st/u2_st.py → paddlespeech/s2t/models/u2_st/u2_st.py

@@ -26,23 +26,23 @@ from paddle import jit
 from paddle import nn
 from yacs.config import CfgNode
 
-from deepspeech.frontend.utility import IGNORE_ID
-from deepspeech.frontend.utility import load_cmvn
-from deepspeech.modules.cmvn import GlobalCMVN
-from deepspeech.modules.ctc import CTCDecoder
-from deepspeech.modules.decoder import TransformerDecoder
-from deepspeech.modules.encoder import ConformerEncoder
-from deepspeech.modules.encoder import TransformerEncoder
-from deepspeech.modules.loss import LabelSmoothingLoss
-from deepspeech.modules.mask import mask_finished_preds
-from deepspeech.modules.mask import mask_finished_scores
-from deepspeech.modules.mask import subsequent_mask
-from deepspeech.utils import checkpoint
-from deepspeech.utils import layer_tools
-from deepspeech.utils.log import Log
-from deepspeech.utils.tensor_utils import add_sos_eos
-from deepspeech.utils.tensor_utils import th_accuracy
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.frontend.utility import IGNORE_ID
+from paddlespeech.s2t.frontend.utility import load_cmvn
+from paddlespeech.s2t.modules.cmvn import GlobalCMVN
+from paddlespeech.s2t.modules.ctc import CTCDecoder
+from paddlespeech.s2t.modules.decoder import TransformerDecoder
+from paddlespeech.s2t.modules.encoder import ConformerEncoder
+from paddlespeech.s2t.modules.encoder import TransformerEncoder
+from paddlespeech.s2t.modules.loss import LabelSmoothingLoss
+from paddlespeech.s2t.modules.mask import mask_finished_preds
+from paddlespeech.s2t.modules.mask import mask_finished_scores
+from paddlespeech.s2t.modules.mask import subsequent_mask
+from paddlespeech.s2t.utils import checkpoint
+from paddlespeech.s2t.utils import layer_tools
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.tensor_utils import add_sos_eos
+from paddlespeech.s2t.utils.tensor_utils import th_accuracy
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 __all__ = ["U2STModel", "U2STInferModel"]
 

deepspeech/modules/activation.py → paddlespeech/s2t/modules/activation.py

@@ -17,7 +17,7 @@ import paddle
 from paddle import nn
 from paddle.nn import functional as F
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/attention.py → paddlespeech/s2t/modules/attention.py

@@ -20,7 +20,7 @@ import paddle
 from paddle import nn
 from paddle.nn import initializer as I
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/cmvn.py → paddlespeech/s2t/modules/cmvn.py

@@ -14,7 +14,7 @@
 import paddle
 from paddle import nn
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/conformer_convolution.py → paddlespeech/s2t/modules/conformer_convolution.py

@@ -19,7 +19,7 @@ import paddle
 from paddle import nn
 from typeguard import check_argument_types
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/crf.py → paddlespeech/s2t/modules/crf.py

@@ -14,7 +14,7 @@
 import paddle
 from paddle import nn
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/ctc.py → paddlespeech/s2t/modules/ctc.py

@@ -18,16 +18,16 @@ from paddle import nn
 from paddle.nn import functional as F
 from typeguard import check_argument_types
 
-from deepspeech.modules.loss import CTCLoss
-from deepspeech.utils import ctc_utils
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.modules.loss import CTCLoss
+from paddlespeech.s2t.utils import ctc_utils
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 
 try:
-    from deepspeech.decoders.ctcdecoder.swig_wrapper import ctc_beam_search_decoder_batch  # noqa: F401
-    from deepspeech.decoders.ctcdecoder.swig_wrapper import ctc_greedy_decoder  # noqa: F401
-    from deepspeech.decoders.ctcdecoder.swig_wrapper import Scorer  # noqa: F401
+    from paddlespeech.s2t.decoders.ctcdecoder.swig_wrapper import ctc_beam_search_decoder_batch  # noqa: F401
+    from paddlespeech.s2t.decoders.ctcdecoder.swig_wrapper import ctc_greedy_decoder  # noqa: F401
+    from paddlespeech.s2t.decoders.ctcdecoder.swig_wrapper import Scorer  # noqa: F401
 except Exception as e:
     logger.info("ctcdecoder not installed!")
 

deepspeech/modules/decoder.py → paddlespeech/s2t/modules/decoder.py

@@ -21,15 +21,15 @@ import paddle
 from paddle import nn
 from typeguard import check_argument_types
 
-from deepspeech.decoders.scorers.scorer_interface import BatchScorerInterface
-from deepspeech.modules.attention import MultiHeadedAttention
-from deepspeech.modules.decoder_layer import DecoderLayer
-from deepspeech.modules.embedding import PositionalEncoding
-from deepspeech.modules.mask import make_non_pad_mask
-from deepspeech.modules.mask import make_xs_mask
-from deepspeech.modules.mask import subsequent_mask
-from deepspeech.modules.positionwise_feed_forward import PositionwiseFeedForward
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.decoders.scorers.scorer_interface import BatchScorerInterface
+from paddlespeech.s2t.modules.attention import MultiHeadedAttention
+from paddlespeech.s2t.modules.decoder_layer import DecoderLayer
+from paddlespeech.s2t.modules.embedding import PositionalEncoding
+from paddlespeech.s2t.modules.mask import make_non_pad_mask
+from paddlespeech.s2t.modules.mask import make_xs_mask
+from paddlespeech.s2t.modules.mask import subsequent_mask
+from paddlespeech.s2t.modules.positionwise_feed_forward import PositionwiseFeedForward
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/decoder_layer.py → paddlespeech/s2t/modules/decoder_layer.py

@@ -18,7 +18,7 @@ from typing import Tuple
 import paddle
 from paddle import nn
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/embedding.py → paddlespeech/s2t/modules/embedding.py

@@ -18,7 +18,7 @@ from typing import Tuple
 import paddle
 from paddle import nn
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/encoder.py → paddlespeech/s2t/modules/encoder.py

@@ -20,23 +20,23 @@ import paddle
 from paddle import nn
 from typeguard import check_argument_types
 
-from deepspeech.modules.activation import get_activation
-from deepspeech.modules.attention import MultiHeadedAttention
-from deepspeech.modules.attention import RelPositionMultiHeadedAttention
-from deepspeech.modules.conformer_convolution import ConvolutionModule
-from deepspeech.modules.embedding import NoPositionalEncoding
-from deepspeech.modules.embedding import PositionalEncoding
-from deepspeech.modules.embedding import RelPositionalEncoding
-from deepspeech.modules.encoder_layer import ConformerEncoderLayer
-from deepspeech.modules.encoder_layer import TransformerEncoderLayer
-from deepspeech.modules.mask import add_optional_chunk_mask
-from deepspeech.modules.mask import make_non_pad_mask
-from deepspeech.modules.positionwise_feed_forward import PositionwiseFeedForward
-from deepspeech.modules.subsampling import Conv2dSubsampling4
-from deepspeech.modules.subsampling import Conv2dSubsampling6
-from deepspeech.modules.subsampling import Conv2dSubsampling8
-from deepspeech.modules.subsampling import LinearNoSubsampling
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.modules.activation import get_activation
+from paddlespeech.s2t.modules.attention import MultiHeadedAttention
+from paddlespeech.s2t.modules.attention import RelPositionMultiHeadedAttention
+from paddlespeech.s2t.modules.conformer_convolution import ConvolutionModule
+from paddlespeech.s2t.modules.embedding import NoPositionalEncoding
+from paddlespeech.s2t.modules.embedding import PositionalEncoding
+from paddlespeech.s2t.modules.embedding import RelPositionalEncoding
+from paddlespeech.s2t.modules.encoder_layer import ConformerEncoderLayer
+from paddlespeech.s2t.modules.encoder_layer import TransformerEncoderLayer
+from paddlespeech.s2t.modules.mask import add_optional_chunk_mask
+from paddlespeech.s2t.modules.mask import make_non_pad_mask
+from paddlespeech.s2t.modules.positionwise_feed_forward import PositionwiseFeedForward
+from paddlespeech.s2t.modules.subsampling import Conv2dSubsampling4
+from paddlespeech.s2t.modules.subsampling import Conv2dSubsampling6
+from paddlespeech.s2t.modules.subsampling import Conv2dSubsampling8
+from paddlespeech.s2t.modules.subsampling import LinearNoSubsampling
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/encoder_layer.py → paddlespeech/s2t/modules/encoder_layer.py

@@ -18,7 +18,7 @@ from typing import Tuple
 import paddle
 from paddle import nn
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/loss.py → paddlespeech/s2t/modules/loss.py

@@ -17,7 +17,7 @@ import paddle
 from paddle import nn
 from paddle.nn import functional as F
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/mask.py → paddlespeech/s2t/modules/mask.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import paddle
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/positionwise_feed_forward.py → paddlespeech/s2t/modules/positionwise_feed_forward.py

@@ -15,7 +15,7 @@
 import paddle
 from paddle import nn
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/modules/subsampling.py → paddlespeech/s2t/modules/subsampling.py

@@ -17,8 +17,8 @@ from typing import Tuple
 import paddle
 from paddle import nn
 
-from deepspeech.modules.embedding import PositionalEncoding
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.modules.embedding import PositionalEncoding
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/training/cli.py → paddlespeech/s2t/training/cli.py

@@ -36,10 +36,10 @@ class LoadFromFile(argparse.Action):
 
 
 def default_argument_parser(parser=None):
-    r"""A simple yet genral argument parser for experiments with parakeet.
+    r"""A simple yet genral argument parser for experiments with t2s.
 
-    This is used in examples with parakeet. And it is intended to be used by
-    other experiments with parakeet. It requires a minimal set of command line
+    This is used in examples with t2s. And it is intended to be used by
+    other experiments with t2s. It requires a minimal set of command line
     arguments to start a training script.
 
     The ``--config`` and ``--opts`` are used for overwrite the deault
@@ -56,7 +56,7 @@ def default_argument_parser(parser=None):
 
     See Also
     --------
-    parakeet.training.experiment
+    paddlespeech.t2s.training.experiment
     Returns
     -------
     argparse.ArgumentParser

deepspeech/training/extensions/evaluator.py → paddlespeech/s2t/training/extensions/evaluator.py

@@ -23,7 +23,7 @@ from ..reporter import DictSummary
 from ..reporter import ObsScope
 from ..reporter import report
 from ..timer import Timer
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 logger = Log(__name__).getlog()
 
 

deepspeech/training/extensions/snapshot.py → paddlespeech/s2t/training/extensions/snapshot.py

@@ -23,8 +23,8 @@ import jsonlines
 from . import extension
 from ..reporter import get_observations
 from ..updaters.trainer import Trainer
-from deepspeech.utils.log import Log
-from deepspeech.utils.mp_tools import rank_zero_only
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.mp_tools import rank_zero_only
 
 logger = Log(__name__).getlog()
 

deepspeech/training/gradclip.py → paddlespeech/s2t/training/gradclip.py

@@ -16,7 +16,7 @@ from paddle.fluid import core
 from paddle.fluid import layers
 from paddle.fluid.dygraph import base as imperative_base
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["ClipGradByGlobalNormWithLog"]
 

deepspeech/training/optimizer.py → paddlespeech/s2t/training/optimizer.py

@@ -19,10 +19,10 @@ import paddle
 from paddle.optimizer import Optimizer
 from paddle.regularizer import L2Decay
 
-from deepspeech.training.gradclip import ClipGradByGlobalNormWithLog
-from deepspeech.utils.dynamic_import import dynamic_import
-from deepspeech.utils.dynamic_import import instance_class
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.training.gradclip import ClipGradByGlobalNormWithLog
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.dynamic_import import instance_class
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["OptimizerFactory"]
 

deepspeech/training/scheduler.py → paddlespeech/s2t/training/scheduler.py

@@ -19,9 +19,9 @@ from typing import Union
 from paddle.optimizer.lr import LRScheduler
 from typeguard import check_argument_types
 
-from deepspeech.utils.dynamic_import import dynamic_import
-from deepspeech.utils.dynamic_import import instance_class
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.dynamic_import import instance_class
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["WarmupLR", "LRSchedulerFactory"]
 

deepspeech/training/timer.py → paddlespeech/s2t/training/timer.py

@@ -14,7 +14,7 @@
 import datetime
 import time
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["Timer"]
 

deepspeech/training/trainer.py → paddlespeech/s2t/training/trainer.py

@@ -21,16 +21,16 @@ import paddle
 from paddle import distributed as dist
 from tensorboardX import SummaryWriter
 
-from deepspeech.training.reporter import ObsScope
-from deepspeech.training.reporter import report
-from deepspeech.training.timer import Timer
-from deepspeech.utils import mp_tools
-from deepspeech.utils import profiler
-from deepspeech.utils.checkpoint import Checkpoint
-from deepspeech.utils.log import Log
-from deepspeech.utils.utility import all_version
-from deepspeech.utils.utility import seed_all
-from deepspeech.utils.utility import UpdateConfig
+from paddlespeech.s2t.training.reporter import ObsScope
+from paddlespeech.s2t.training.reporter import report
+from paddlespeech.s2t.training.timer import Timer
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils import profiler
+from paddlespeech.s2t.utils.checkpoint import Checkpoint
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.utility import all_version
+from paddlespeech.s2t.utils.utility import seed_all
+from paddlespeech.s2t.utils.utility import UpdateConfig
 
 __all__ = ["Trainer"]
 

deepspeech/training/updaters/standard_updater.py → paddlespeech/s2t/training/updaters/standard_updater.py

@@ -21,10 +21,10 @@ from paddle.nn import Layer
 from paddle.optimizer import Optimizer
 from paddle.optimizer.lr import LRScheduler
 
-from deepspeech.training.reporter import report
-from deepspeech.training.updaters.updater import UpdaterBase
-from deepspeech.training.updaters.updater import UpdaterState
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.training.reporter import report
+from paddlespeech.s2t.training.updaters.updater import UpdaterBase
+from paddlespeech.s2t.training.updaters.updater import UpdaterState
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["StandardUpdater"]
 

deepspeech/training/updaters/trainer.py → paddlespeech/s2t/training/updaters/trainer.py

@@ -22,12 +22,12 @@ from typing import Union
 import six
 import tqdm
 
-from deepspeech.training.extensions.extension import Extension
-from deepspeech.training.extensions.extension import PRIORITY_READER
-from deepspeech.training.reporter import ObsScope
-from deepspeech.training.triggers import get_trigger
-from deepspeech.training.triggers.limit_trigger import LimitTrigger
-from deepspeech.training.updaters.updater import UpdaterBase
+from paddlespeech.s2t.training.extensions.extension import Extension
+from paddlespeech.s2t.training.extensions.extension import PRIORITY_READER
+from paddlespeech.s2t.training.reporter import ObsScope
+from paddlespeech.s2t.training.triggers import get_trigger
+from paddlespeech.s2t.training.triggers.limit_trigger import LimitTrigger
+from paddlespeech.s2t.training.updaters.updater import UpdaterBase
 
 
 class _ExtensionEntry():

deepspeech/training/updaters/updater.py → paddlespeech/s2t/training/updaters/updater.py

@@ -15,7 +15,7 @@ from dataclasses import dataclass
 
 import paddle
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["UpdaterBase", "UpdaterState"]
 

deepspeech/transform/functional.py → paddlespeech/s2t/transform/functional.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 import inspect
 
-from deepspeech.transform.transform_interface import TransformInterface
-from deepspeech.utils.check_kwargs import check_kwargs
+from paddlespeech.s2t.transform.transform_interface import TransformInterface
+from paddlespeech.s2t.utils.check_kwargs import check_kwargs
 
 
 class FuncTrans(TransformInterface):

deepspeech/transform/perturb.py → paddlespeech/s2t/transform/perturb.py

@@ -16,7 +16,7 @@ import numpy
 import scipy
 import soundfile
 
-from deepspeech.io.reader import SoundHDF5File
+from paddlespeech.s2t.io.reader import SoundHDF5File
 
 
 class SpeedPerturbation():

deepspeech/transform/spec_augment.py → paddlespeech/s2t/transform/spec_augment.py

@@ -18,7 +18,7 @@ import numpy
 from PIL import Image
 from PIL.Image import BICUBIC
 
-from deepspeech.transform.functional import FuncTrans
+from paddlespeech.s2t.transform.functional import FuncTrans
 
 
 def time_warp(x, max_time_warp=80, inplace=False, mode="PIL"):

deepspeech/transform/transformation.py → paddlespeech/s2t/transform/transformation.py

@@ -21,31 +21,31 @@ from inspect import signature
 
 import yaml
 
-from deepspeech.utils.dynamic_import import dynamic_import
+from paddlespeech.s2t.utils.dynamic_import import dynamic_import
 
 # TODO(karita): inherit TransformInterface
 # TODO(karita): register cmd arguments in asr_train.py
 import_alias = dict(
-    identity="deepspeech.transform.transform_interface:Identity",
-    time_warp="deepspeech.transform.spec_augment:TimeWarp",
-    time_mask="deepspeech.transform.spec_augment:TimeMask",
-    freq_mask="deepspeech.transform.spec_augment:FreqMask",
-    spec_augment="deepspeech.transform.spec_augment:SpecAugment",
-    speed_perturbation="deepspeech.transform.perturb:SpeedPerturbation",
-    volume_perturbation="deepspeech.transform.perturb:VolumePerturbation",
-    noise_injection="deepspeech.transform.perturb:NoiseInjection",
-    bandpass_perturbation="deepspeech.transform.perturb:BandpassPerturbation",
-    rir_convolve="deepspeech.transform.perturb:RIRConvolve",
-    delta="deepspeech.transform.add_deltas:AddDeltas",
-    cmvn="deepspeech.transform.cmvn:CMVN",
-    utterance_cmvn="deepspeech.transform.cmvn:UtteranceCMVN",
-    fbank="deepspeech.transform.spectrogram:LogMelSpectrogram",
-    spectrogram="deepspeech.transform.spectrogram:Spectrogram",
-    stft="deepspeech.transform.spectrogram:Stft",
-    istft="deepspeech.transform.spectrogram:IStft",
-    stft2fbank="deepspeech.transform.spectrogram:Stft2LogMelSpectrogram",
-    wpe="deepspeech.transform.wpe:WPE",
-    channel_selector="deepspeech.transform.channel_selector:ChannelSelector", )
+    identity="paddlespeech.s2t.transform.transform_interface:Identity",
+    time_warp="paddlespeech.s2t.transform.spec_augment:TimeWarp",
+    time_mask="paddlespeech.s2t.transform.spec_augment:TimeMask",
+    freq_mask="paddlespeech.s2t.transform.spec_augment:FreqMask",
+    spec_augment="paddlespeech.s2t.transform.spec_augment:SpecAugment",
+    speed_perturbation="paddlespeech.s2t.transform.perturb:SpeedPerturbation",
+    volume_perturbation="paddlespeech.s2t.transform.perturb:VolumePerturbation",
+    noise_injection="paddlespeech.s2t.transform.perturb:NoiseInjection",
+    bandpass_perturbation="paddlespeech.s2t.transform.perturb:BandpassPerturbation",
+    rir_convolve="paddlespeech.s2t.transform.perturb:RIRConvolve",
+    delta="paddlespeech.s2t.transform.add_deltas:AddDeltas",
+    cmvn="paddlespeech.s2t.transform.cmvn:CMVN",
+    utterance_cmvn="paddlespeech.s2t.transform.cmvn:UtteranceCMVN",
+    fbank="paddlespeech.s2t.transform.spectrogram:LogMelSpectrogram",
+    spectrogram="paddlespeech.s2t.transform.spectrogram:Spectrogram",
+    stft="paddlespeech.s2t.transform.spectrogram:Stft",
+    istft="paddlespeech.s2t.transform.spectrogram:IStft",
+    stft2fbank="paddlespeech.s2t.transform.spectrogram:Stft2LogMelSpectrogram",
+    wpe="paddlespeech.s2t.transform.wpe:WPE",
+    channel_selector="paddlespeech.s2t.transform.channel_selector:ChannelSelector", )
 
 
 class Transformation():

deepspeech/utils/checkpoint.py → paddlespeech/s2t/utils/checkpoint.py

@@ -23,8 +23,8 @@ import paddle
 from paddle import distributed as dist
 from paddle.optimizer import Optimizer
 
-from deepspeech.utils import mp_tools
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils import mp_tools
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/utils/cli_readers.py → paddlespeech/s2t/utils/cli_readers.py

@@ -19,7 +19,7 @@ import h5py
 import kaldiio
 import soundfile
 
-from deepspeech.io.reader import SoundHDF5File
+from paddlespeech.s2t.io.reader import SoundHDF5File
 
 
 def file_reader_helper(

deepspeech/utils/cli_writers.py → paddlespeech/s2t/utils/cli_writers.py

@@ -19,8 +19,8 @@ import kaldiio
 import numpy
 import soundfile
 
-from deepspeech.io.reader import SoundHDF5File
-from deepspeech.utils.cli_utils import assert_scipy_wav_style
+from paddlespeech.s2t.io.reader import SoundHDF5File
+from paddlespeech.s2t.utils.cli_utils import assert_scipy_wav_style
 
 
 def file_writer_helper(

deepspeech/utils/ctc_utils.py → paddlespeech/s2t/utils/ctc_utils.py

@@ -16,9 +16,9 @@ from typing import List
 import numpy as np
 import paddle
 
-from deepspeech.utils import text_grid
-from deepspeech.utils import utility
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils import text_grid
+from paddlespeech.s2t.utils import utility
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/utils/dynamic_import.py → paddlespeech/s2t/utils/dynamic_import.py

@@ -18,8 +18,8 @@ from typing import Dict
 from typing import List
 from typing import Text
 
-from deepspeech.utils.log import Log
-from deepspeech.utils.tensor_utils import has_tensor
+from paddlespeech.s2t.utils.log import Log
+from paddlespeech.s2t.utils.tensor_utils import has_tensor
 
 logger = Log(__name__).getlog()
 
@@ -30,13 +30,13 @@ def dynamic_import(import_path, alias=dict()):
     """dynamic import module and class
 
     :param str import_path: syntax 'module_name:class_name'
-        e.g., 'deepspeech.models.u2:U2Model'
+        e.g., 'paddlespeech.s2t.models.u2:U2Model'
     :param dict alias: shortcut for registered class
     :return: imported class
     """
     if import_path not in alias and ":" not in import_path:
         raise ValueError("import_path should be one of {} or "
-                         'include ":", e.g. "deepspeech.models.u2:U2Model" : '
+                         'include ":", e.g. "paddlespeech.s2t.models.u2:U2Model" : '
                          "{}".format(set(alias), import_path))
     if ":" not in import_path:
         import_path = alias[import_path]

deepspeech/utils/profiler.py → paddlespeech/s2t/utils/profiler.py

@@ -15,7 +15,7 @@ import sys
 
 import paddle
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

deepspeech/utils/socket_server.py → paddlespeech/s2t/utils/socket_server.py

@@ -21,7 +21,7 @@ import wave
 from time import gmtime
 from time import strftime
 
-from deepspeech.frontend.utility import read_manifest
+from paddlespeech.s2t.frontend.utility import read_manifest
 
 __all__ = ["socket_send", "warm_up_test", "AsrTCPServer", "AsrRequestHandler"]
 

deepspeech/utils/tensor_utils.py → paddlespeech/s2t/utils/tensor_utils.py

@@ -17,7 +17,7 @@ from typing import Tuple
 
 import paddle
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["pad_sequence", "add_sos_eos", "th_accuracy", "has_tensor"]
 

deepspeech/utils/utility.py → paddlespeech/s2t/utils/utility.py

@@ -25,7 +25,7 @@ import numpy as np
 import paddle
 import soundfile
 
-from deepspeech.utils.log import Log
+from paddlespeech.s2t.utils.log import Log
 
 logger = Log(__name__).getlog()
 

parakeet/data/__init__.py → paddlespeech/t2s/data/__init__.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Parakeet's infrastructure for data processing.
+"""t2s's infrastructure for data processing.
 """
 from .batch import *
 from .dataset import *

parakeet/datasets/am_batch_fn.py → paddlespeech/t2s/datasets/am_batch_fn.py

@@ -14,7 +14,7 @@
 import numpy as np
 import paddle
 
-from parakeet.data.batch import batch_sequences
+from paddlespeech.t2s.data.batch import batch_sequences
 
 
 def speedyspeech_batch_fn(examples):

parakeet/exps/fastspeech2/inference.py → paddlespeech/t2s/exps/fastspeech2/inference.py

@@ -18,7 +18,7 @@ from pathlib import Path
 import soundfile as sf
 from paddle import inference
 
-from parakeet.frontend.zh_frontend import Frontend
+from paddlespeech.t2s.frontend.zh_frontend import Frontend
 
 
 def main():

parakeet/exps/fastspeech2/multi_spk_synthesize_e2e.py → paddlespeech/t2s/exps/fastspeech2/multi_spk_synthesize_e2e.py

@@ -21,12 +21,12 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.frontend.zh_frontend import Frontend
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.frontend.zh_frontend import Frontend
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, fastspeech2_config, pwg_config):

parakeet/exps/fastspeech2/multi_spk_synthesize_e2e_en.py → paddlespeech/t2s/exps/fastspeech2/multi_spk_synthesize_e2e_en.py

@@ -21,12 +21,12 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.frontend import English
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.frontend import English
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, fastspeech2_config, pwg_config):

parakeet/exps/fastspeech2/normalize.py → paddlespeech/t2s/exps/fastspeech2/normalize.py

@@ -22,7 +22,7 @@ import numpy as np
 from sklearn.preprocessing import StandardScaler
 from tqdm import tqdm
 
-from parakeet.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.data_table import DataTable
 
 
 def main():

parakeet/exps/fastspeech2/preprocess.py → paddlespeech/t2s/exps/fastspeech2/preprocess.py

@@ -27,14 +27,14 @@ import tqdm
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.data.get_feats import Energy
-from parakeet.data.get_feats import LogMelFBank
-from parakeet.data.get_feats import Pitch
-from parakeet.datasets.preprocess_utils import compare_duration_and_mel_length
-from parakeet.datasets.preprocess_utils import get_input_token
-from parakeet.datasets.preprocess_utils import get_phn_dur
-from parakeet.datasets.preprocess_utils import get_spk_id_map
-from parakeet.datasets.preprocess_utils import merge_silence
+from paddlespeech.t2s.data.get_feats import Energy
+from paddlespeech.t2s.data.get_feats import LogMelFBank
+from paddlespeech.t2s.data.get_feats import Pitch
+from paddlespeech.t2s.datasets.preprocess_utils import compare_duration_and_mel_length
+from paddlespeech.t2s.datasets.preprocess_utils import get_input_token
+from paddlespeech.t2s.datasets.preprocess_utils import get_phn_dur
+from paddlespeech.t2s.datasets.preprocess_utils import get_spk_id_map
+from paddlespeech.t2s.datasets.preprocess_utils import merge_silence
 
 
 def process_sentence(config: Dict[str, Any],

parakeet/exps/fastspeech2/synthesize.py → paddlespeech/t2s/exps/fastspeech2/synthesize.py

@@ -22,12 +22,12 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, fastspeech2_config, pwg_config):

parakeet/exps/fastspeech2/synthesize_e2e.py → paddlespeech/t2s/exps/fastspeech2/synthesize_e2e.py

@@ -24,12 +24,12 @@ from paddle import jit
 from paddle.static import InputSpec
 from yacs.config import CfgNode
 
-from parakeet.frontend.zh_frontend import Frontend
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.frontend.zh_frontend import Frontend
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, fastspeech2_config, pwg_config):

parakeet/exps/fastspeech2/synthesize_e2e_en.py → paddlespeech/t2s/exps/fastspeech2/synthesize_e2e_en.py

@@ -21,12 +21,12 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.frontend import English
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.frontend import English
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, fastspeech2_config, pwg_config):

parakeet/exps/fastspeech2/synthesize_e2e_melgan.py → paddlespeech/t2s/exps/fastspeech2/synthesize_e2e_melgan.py

@@ -24,12 +24,12 @@ from paddle import jit
 from paddle.static import InputSpec
 from yacs.config import CfgNode
 
-from parakeet.frontend.zh_frontend import Frontend
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Inference
-from parakeet.models.melgan import MelGANGenerator
-from parakeet.models.melgan import MelGANInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.frontend.zh_frontend import Frontend
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
+from paddlespeech.t2s.models.melgan import MelGANGenerator
+from paddlespeech.t2s.models.melgan import MelGANInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, fastspeech2_config, melgan_config):

parakeet/exps/fastspeech2/train.py → paddlespeech/t2s/exps/fastspeech2/train.py

@@ -27,17 +27,17 @@ from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 from yacs.config import CfgNode
 
-from parakeet.datasets.am_batch_fn import fastspeech2_multi_spk_batch_fn
-from parakeet.datasets.am_batch_fn import fastspeech2_single_spk_batch_fn
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.fastspeech2 import FastSpeech2
-from parakeet.models.fastspeech2 import FastSpeech2Evaluator
-from parakeet.models.fastspeech2 import FastSpeech2Updater
-from parakeet.training.extensions.snapshot import Snapshot
-from parakeet.training.extensions.visualizer import VisualDL
-from parakeet.training.optimizer import build_optimizers
-from parakeet.training.seeding import seed_everything
-from parakeet.training.trainer import Trainer
+from paddlespeech.t2s.datasets.am_batch_fn import fastspeech2_multi_spk_batch_fn
+from paddlespeech.t2s.datasets.am_batch_fn import fastspeech2_single_spk_batch_fn
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Evaluator
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Updater
+from paddlespeech.t2s.training.extensions.snapshot import Snapshot
+from paddlespeech.t2s.training.extensions.visualizer import VisualDL
+from paddlespeech.t2s.training.optimizer import build_optimizers
+from paddlespeech.t2s.training.seeding import seed_everything
+from paddlespeech.t2s.training.trainer import Trainer
 
 
 def train_sp(args, config):

parakeet/exps/gan_vocoder/multi_band_melgan/synthesize.py → paddlespeech/t2s/exps/gan_vocoder/multi_band_melgan/synthesize.py

@@ -24,8 +24,8 @@ from paddle import distributed as dist
 from timer import timer
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.melgan import MelGANGenerator
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.melgan import MelGANGenerator
 
 
 def main():

parakeet/exps/gan_vocoder/multi_band_melgan/train.py → paddlespeech/t2s/exps/gan_vocoder/multi_band_melgan/train.py

@@ -30,20 +30,20 @@ from paddle.optimizer import Adam
 from paddle.optimizer.lr import MultiStepDecay
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.datasets.vocoder_batch_fn import Clip
-from parakeet.models.melgan import MBMelGANEvaluator
-from parakeet.models.melgan import MBMelGANUpdater
-from parakeet.models.melgan import MelGANGenerator
-from parakeet.models.melgan import MelGANMultiScaleDiscriminator
-from parakeet.modules.adversarial_loss import DiscriminatorAdversarialLoss
-from parakeet.modules.adversarial_loss import GeneratorAdversarialLoss
-from parakeet.modules.pqmf import PQMF
-from parakeet.modules.stft_loss import MultiResolutionSTFTLoss
-from parakeet.training.extensions.snapshot import Snapshot
-from parakeet.training.extensions.visualizer import VisualDL
-from parakeet.training.seeding import seed_everything
-from parakeet.training.trainer import Trainer
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.vocoder_batch_fn import Clip
+from paddlespeech.t2s.models.melgan import MBMelGANEvaluator
+from paddlespeech.t2s.models.melgan import MBMelGANUpdater
+from paddlespeech.t2s.models.melgan import MelGANGenerator
+from paddlespeech.t2s.models.melgan import MelGANMultiScaleDiscriminator
+from paddlespeech.t2s.modules.adversarial_loss import DiscriminatorAdversarialLoss
+from paddlespeech.t2s.modules.adversarial_loss import GeneratorAdversarialLoss
+from paddlespeech.t2s.modules.pqmf import PQMF
+from paddlespeech.t2s.modules.stft_loss import MultiResolutionSTFTLoss
+from paddlespeech.t2s.training.extensions.snapshot import Snapshot
+from paddlespeech.t2s.training.extensions.visualizer import VisualDL
+from paddlespeech.t2s.training.seeding import seed_everything
+from paddlespeech.t2s.training.trainer import Trainer
 
 
 def train_sp(args, config):

parakeet/exps/gan_vocoder/normalize.py → paddlespeech/t2s/exps/gan_vocoder/normalize.py

@@ -22,7 +22,7 @@ import numpy as np
 from sklearn.preprocessing import StandardScaler
 from tqdm import tqdm
 
-from parakeet.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.data_table import DataTable
 
 
 def main():

parakeet/exps/gan_vocoder/parallelwave_gan/synthesize.py → paddlespeech/t2s/exps/gan_vocoder/parallelwave_gan/synthesize.py

@@ -24,8 +24,8 @@ from paddle import distributed as dist
 from timer import timer
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
 
 
 def main():

parakeet/exps/gan_vocoder/parallelwave_gan/synthesize_from_wav.py → paddlespeech/t2s/exps/gan_vocoder/parallelwave_gan/synthesize_from_wav.py

@@ -23,10 +23,10 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.data.get_feats import LogMelFBank
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.data.get_feats import LogMelFBank
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, config):

parakeet/exps/gan_vocoder/parallelwave_gan/train.py → paddlespeech/t2s/exps/gan_vocoder/parallelwave_gan/train.py

@@ -30,17 +30,17 @@ from paddle.optimizer import Adam  # No RAdaom
 from paddle.optimizer.lr import StepDecay
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.datasets.vocoder_batch_fn import Clip
-from parakeet.models.parallel_wavegan import PWGDiscriminator
-from parakeet.models.parallel_wavegan import PWGEvaluator
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGUpdater
-from parakeet.modules.stft_loss import MultiResolutionSTFTLoss
-from parakeet.training.extensions.snapshot import Snapshot
-from parakeet.training.extensions.visualizer import VisualDL
-from parakeet.training.seeding import seed_everything
-from parakeet.training.trainer import Trainer
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.vocoder_batch_fn import Clip
+from paddlespeech.t2s.models.parallel_wavegan import PWGDiscriminator
+from paddlespeech.t2s.models.parallel_wavegan import PWGEvaluator
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGUpdater
+from paddlespeech.t2s.modules.stft_loss import MultiResolutionSTFTLoss
+from paddlespeech.t2s.training.extensions.snapshot import Snapshot
+from paddlespeech.t2s.training.extensions.visualizer import VisualDL
+from paddlespeech.t2s.training.seeding import seed_everything
+from paddlespeech.t2s.training.trainer import Trainer
 
 
 def train_sp(args, config):

parakeet/exps/gan_vocoder/preprocess.py → paddlespeech/t2s/exps/gan_vocoder/preprocess.py

@@ -27,9 +27,9 @@ import tqdm
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.data.get_feats import LogMelFBank
-from parakeet.datasets.preprocess_utils import get_phn_dur
-from parakeet.datasets.preprocess_utils import merge_silence
+from paddlespeech.t2s.data.get_feats import LogMelFBank
+from paddlespeech.t2s.datasets.preprocess_utils import get_phn_dur
+from paddlespeech.t2s.datasets.preprocess_utils import merge_silence
 
 
 def process_sentence(config: Dict[str, Any],

parakeet/exps/ge2e/dataset_processors.py → paddlespeech/t2s/exps/ge2e/dataset_processors.py

@@ -19,7 +19,7 @@ from typing import List
 import numpy as np
 from tqdm import tqdm
 
-from parakeet.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
+from paddlespeech.t2s.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
 
 
 def _process_utterance(path_pair, processor: SpeakerVerificationPreprocessor):

parakeet/exps/ge2e/inference.py → paddlespeech/t2s/exps/ge2e/inference.py

@@ -18,9 +18,9 @@ import numpy as np
 import paddle
 import tqdm
 
-from parakeet.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
-from parakeet.exps.ge2e.config import get_cfg_defaults
-from parakeet.models.lstm_speaker_encoder import LSTMSpeakerEncoder
+from paddlespeech.t2s.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
+from paddlespeech.t2s.exps.ge2e.config import get_cfg_defaults
+from paddlespeech.t2s.models.lstm_speaker_encoder import LSTMSpeakerEncoder
 
 
 def embed_utterance(processor, model, fpath_or_wav):

parakeet/exps/ge2e/preprocess.py → paddlespeech/t2s/exps/ge2e/preprocess.py

@@ -16,12 +16,12 @@ from pathlib import Path
 
 from audio_processor import SpeakerVerificationPreprocessor
 
-from parakeet.exps.ge2e.config import get_cfg_defaults
-from parakeet.exps.ge2e.dataset_processors import process_aidatatang_200zh
-from parakeet.exps.ge2e.dataset_processors import process_librispeech
-from parakeet.exps.ge2e.dataset_processors import process_magicdata
-from parakeet.exps.ge2e.dataset_processors import process_voxceleb1
-from parakeet.exps.ge2e.dataset_processors import process_voxceleb2
+from paddlespeech.t2s.exps.ge2e.config import get_cfg_defaults
+from paddlespeech.t2s.exps.ge2e.dataset_processors import process_aidatatang_200zh
+from paddlespeech.t2s.exps.ge2e.dataset_processors import process_librispeech
+from paddlespeech.t2s.exps.ge2e.dataset_processors import process_magicdata
+from paddlespeech.t2s.exps.ge2e.dataset_processors import process_voxceleb1
+from paddlespeech.t2s.exps.ge2e.dataset_processors import process_voxceleb2
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(

parakeet/exps/ge2e/speaker_verification_dataset.py → paddlespeech/t2s/exps/ge2e/speaker_verification_dataset.py

@@ -18,7 +18,7 @@ import numpy as np
 from paddle.io import BatchSampler
 from paddle.io import Dataset
 
-from parakeet.exps.ge2e.random_cycle import random_cycle
+from paddlespeech.t2s.exps.ge2e.random_cycle import random_cycle
 
 
 class MultiSpeakerMelDataset(Dataset):

parakeet/exps/ge2e/train.py → paddlespeech/t2s/exps/ge2e/train.py

@@ -19,13 +19,13 @@ from paddle.io import DataLoader
 from paddle.nn.clip import ClipGradByGlobalNorm
 from paddle.optimizer import Adam
 
-from parakeet.exps.ge2e.config import get_cfg_defaults
-from parakeet.exps.ge2e.speaker_verification_dataset import Collate
-from parakeet.exps.ge2e.speaker_verification_dataset import MultiSpeakerMelDataset
-from parakeet.exps.ge2e.speaker_verification_dataset import MultiSpeakerSampler
-from parakeet.models.lstm_speaker_encoder import LSTMSpeakerEncoder
-from parakeet.training import default_argument_parser
-from parakeet.training import ExperimentBase
+from paddlespeech.t2s.exps.ge2e.config import get_cfg_defaults
+from paddlespeech.t2s.exps.ge2e.speaker_verification_dataset import Collate
+from paddlespeech.t2s.exps.ge2e.speaker_verification_dataset import MultiSpeakerMelDataset
+from paddlespeech.t2s.exps.ge2e.speaker_verification_dataset import MultiSpeakerSampler
+from paddlespeech.t2s.models.lstm_speaker_encoder import LSTMSpeakerEncoder
+from paddlespeech.t2s.training import default_argument_parser
+from paddlespeech.t2s.training import ExperimentBase
 
 
 class Ge2eExperiment(ExperimentBase):

parakeet/exps/speedyspeech/inference.py → paddlespeech/t2s/exps/speedyspeech/inference.py

@@ -18,7 +18,7 @@ from pathlib import Path
 import soundfile as sf
 from paddle import inference
 
-from parakeet.frontend.zh_frontend import Frontend
+from paddlespeech.t2s.frontend.zh_frontend import Frontend
 
 
 def main():

parakeet/exps/speedyspeech/normalize.py → paddlespeech/t2s/exps/speedyspeech/normalize.py

@@ -22,7 +22,7 @@ import numpy as np
 from sklearn.preprocessing import StandardScaler
 from tqdm import tqdm
 
-from parakeet.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.data_table import DataTable
 
 
 def main():

parakeet/exps/speedyspeech/preprocess.py → paddlespeech/t2s/exps/speedyspeech/preprocess.py

@@ -27,11 +27,11 @@ import tqdm
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.data.get_feats import LogMelFBank
-from parakeet.datasets.preprocess_utils import compare_duration_and_mel_length
-from parakeet.datasets.preprocess_utils import get_phn_dur
-from parakeet.datasets.preprocess_utils import get_phones_tones
-from parakeet.datasets.preprocess_utils import merge_silence
+from paddlespeech.t2s.data.get_feats import LogMelFBank
+from paddlespeech.t2s.datasets.preprocess_utils import compare_duration_and_mel_length
+from paddlespeech.t2s.datasets.preprocess_utils import get_phn_dur
+from paddlespeech.t2s.datasets.preprocess_utils import get_phones_tones
+from paddlespeech.t2s.datasets.preprocess_utils import merge_silence
 
 
 def process_sentence(config: Dict[str, Any],

parakeet/exps/speedyspeech/synthesize.py → paddlespeech/t2s/exps/speedyspeech/synthesize.py

@@ -25,12 +25,12 @@ from paddle import jit
 from paddle.static import InputSpec
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.models.speedyspeech import SpeedySpeech
-from parakeet.models.speedyspeech import SpeedySpeechInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeech
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeechInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, speedyspeech_config, pwg_config):

parakeet/exps/speedyspeech/synthesize_e2e.py → paddlespeech/t2s/exps/speedyspeech/synthesize_e2e.py

@@ -24,12 +24,12 @@ from paddle import jit
 from paddle.static import InputSpec
 from yacs.config import CfgNode
 
-from parakeet.frontend.zh_frontend import Frontend
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import PWGInference
-from parakeet.models.speedyspeech import SpeedySpeech
-from parakeet.models.speedyspeech import SpeedySpeechInference
-from parakeet.modules.normalizer import ZScore
+from paddlespeech.t2s.frontend.zh_frontend import Frontend
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import PWGInference
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeech
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeechInference
+from paddlespeech.t2s.modules.normalizer import ZScore
 
 
 def evaluate(args, speedyspeech_config, pwg_config):

parakeet/exps/speedyspeech/train.py → paddlespeech/t2s/exps/speedyspeech/train.py

@@ -27,16 +27,16 @@ from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 from yacs.config import CfgNode
 
-from parakeet.datasets.am_batch_fn import speedyspeech_batch_fn
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.speedyspeech import SpeedySpeech
-from parakeet.models.speedyspeech import SpeedySpeechEvaluator
-from parakeet.models.speedyspeech import SpeedySpeechUpdater
-from parakeet.training.extensions.snapshot import Snapshot
-from parakeet.training.extensions.visualizer import VisualDL
-from parakeet.training.optimizer import build_optimizers
-from parakeet.training.seeding import seed_everything
-from parakeet.training.trainer import Trainer
+from paddlespeech.t2s.datasets.am_batch_fn import speedyspeech_batch_fn
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeech
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeechEvaluator
+from paddlespeech.t2s.models.speedyspeech import SpeedySpeechUpdater
+from paddlespeech.t2s.training.extensions.snapshot import Snapshot
+from paddlespeech.t2s.training.extensions.visualizer import VisualDL
+from paddlespeech.t2s.training.optimizer import build_optimizers
+from paddlespeech.t2s.training.seeding import seed_everything
+from paddlespeech.t2s.training.trainer import Trainer
 
 
 def train_sp(args, config):

parakeet/exps/tacotron2/ljspeech.py → paddlespeech/t2s/exps/tacotron2/ljspeech.py

@@ -17,8 +17,8 @@ from pathlib import Path
 import numpy as np
 from paddle.io import Dataset
 
-from parakeet.data.batch import batch_spec
-from parakeet.data.batch import batch_text_id
+from paddlespeech.t2s.data.batch import batch_spec
+from paddlespeech.t2s.data.batch import batch_text_id
 
 
 class LJSpeech(Dataset):

parakeet/exps/tacotron2/preprocess.py → paddlespeech/t2s/exps/tacotron2/preprocess.py

@@ -19,11 +19,11 @@ from pathlib import Path
 import numpy as np
 import tqdm
 
-from parakeet.audio import AudioProcessor
-from parakeet.audio import LogMagnitude
-from parakeet.datasets import LJSpeechMetaData
-from parakeet.exps.tacotron2.config import get_cfg_defaults
-from parakeet.frontend import EnglishCharacter
+from paddlespeech.t2s.audio import AudioProcessor
+from paddlespeech.t2s.audio import LogMagnitude
+from paddlespeech.t2s.datasets import LJSpeechMetaData
+from paddlespeech.t2s.exps.tacotron2.config import get_cfg_defaults
+from paddlespeech.t2s.frontend import EnglishCharacter
 
 
 def create_dataset(config, source_path, target_path, verbose=False):

parakeet/exps/tacotron2/synthesize.ipynb → paddlespeech/t2s/exps/tacotron2/synthesize.ipynb

@@ -19,8 +19,8 @@
     "from IPython import display as ipd\n",
     "%matplotlib inline\n",
     "\n",
-    "from parakeet.utils import display\n",
-    "from parakeet.utils import layer_tools\n",
+    "from paddlespeech.t2s.utils import display\n",
+    "from paddlespeech.t2s.utils import layer_tools\n",
     "paddle.set_device(\"gpu:0\")\n",
     "\n",
     "import sys\n",
@@ -45,8 +45,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from parakeet.models.tacotron2 import Tacotron2\n",
-    "from parakeet.frontend import EnglishCharacter"
+    "from paddlespeech.t2s.models.tacotron2 import Tacotron2\n",
+    "from paddlespeech.t2s.frontend import EnglishCharacter"
    ]
   },
   {
@@ -198,7 +198,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from parakeet.models.waveflow import ConditionalWaveFlow"
+    "from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow"
    ]
   },
   {

parakeet/exps/tacotron2/synthesize.py → paddlespeech/t2s/exps/tacotron2/synthesize.py

@@ -18,10 +18,10 @@ import numpy as np
 import paddle
 from matplotlib import pyplot as plt
 
-from parakeet.exps.tacotron2.config import get_cfg_defaults
-from parakeet.frontend import EnglishCharacter
-from parakeet.models.tacotron2 import Tacotron2
-from parakeet.utils import display
+from paddlespeech.t2s.exps.tacotron2.config import get_cfg_defaults
+from paddlespeech.t2s.frontend import EnglishCharacter
+from paddlespeech.t2s.models.tacotron2 import Tacotron2
+from paddlespeech.t2s.utils import display
 
 
 def main(config, args):

parakeet/exps/tacotron2/train.py → paddlespeech/t2s/exps/tacotron2/train.py

@@ -20,16 +20,16 @@ from paddle import distributed as dist
 from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 
-from parakeet.data import dataset
-from parakeet.exps.tacotron2.config import get_cfg_defaults
-from parakeet.exps.tacotron2.ljspeech import LJSpeech
-from parakeet.exps.tacotron2.ljspeech import LJSpeechCollector
-from parakeet.models.tacotron2 import Tacotron2
-from parakeet.models.tacotron2 import Tacotron2Loss
-from parakeet.training.cli import default_argument_parser
-from parakeet.training.experiment import ExperimentBase
-from parakeet.utils import display
-from parakeet.utils import mp_tools
+from paddlespeech.t2s.data import dataset
+from paddlespeech.t2s.exps.tacotron2.config import get_cfg_defaults
+from paddlespeech.t2s.exps.tacotron2.ljspeech import LJSpeech
+from paddlespeech.t2s.exps.tacotron2.ljspeech import LJSpeechCollector
+from paddlespeech.t2s.models.tacotron2 import Tacotron2
+from paddlespeech.t2s.models.tacotron2 import Tacotron2Loss
+from paddlespeech.t2s.training.cli import default_argument_parser
+from paddlespeech.t2s.training.experiment import ExperimentBase
+from paddlespeech.t2s.utils import display
+from paddlespeech.t2s.utils import mp_tools
 
 
 class Experiment(ExperimentBase):

parakeet/exps/transformer_tts/normalize.py → paddlespeech/t2s/exps/transformer_tts/normalize.py

@@ -22,7 +22,7 @@ import numpy as np
 from sklearn.preprocessing import StandardScaler
 from tqdm import tqdm
 
-from parakeet.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.data_table import DataTable
 
 
 def main():

parakeet/exps/transformer_tts/preprocess.py → paddlespeech/t2s/exps/transformer_tts/preprocess.py

@@ -26,8 +26,8 @@ import tqdm
 import yaml
 from yacs.config import CfgNode as Configuration
 
-from parakeet.data.get_feats import LogMelFBank
-from parakeet.frontend import English
+from paddlespeech.t2s.data.get_feats import LogMelFBank
+from paddlespeech.t2s.frontend import English
 
 
 def get_lj_sentences(file_name, frontend):

parakeet/exps/transformer_tts/synthesize.py → paddlespeech/t2s/exps/transformer_tts/synthesize.py

@@ -22,12 +22,12 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.transformer_tts import TransformerTTS
-from parakeet.models.transformer_tts import TransformerTTSInference
-from parakeet.models.waveflow import ConditionalWaveFlow
-from parakeet.modules.normalizer import ZScore
-from parakeet.utils import layer_tools
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.transformer_tts import TransformerTTS
+from paddlespeech.t2s.models.transformer_tts import TransformerTTSInference
+from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow
+from paddlespeech.t2s.modules.normalizer import ZScore
+from paddlespeech.t2s.utils import layer_tools
 
 
 def evaluate(args, acoustic_model_config, vocoder_config):

parakeet/exps/transformer_tts/synthesize_e2e.py → paddlespeech/t2s/exps/transformer_tts/synthesize_e2e.py

@@ -21,12 +21,12 @@ import soundfile as sf
 import yaml
 from yacs.config import CfgNode
 
-from parakeet.frontend import English
-from parakeet.models.transformer_tts import TransformerTTS
-from parakeet.models.transformer_tts import TransformerTTSInference
-from parakeet.models.waveflow import ConditionalWaveFlow
-from parakeet.modules.normalizer import ZScore
-from parakeet.utils import layer_tools
+from paddlespeech.t2s.frontend import English
+from paddlespeech.t2s.models.transformer_tts import TransformerTTS
+from paddlespeech.t2s.models.transformer_tts import TransformerTTSInference
+from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow
+from paddlespeech.t2s.modules.normalizer import ZScore
+from paddlespeech.t2s.utils import layer_tools
 
 
 def evaluate(args, acoustic_model_config, vocoder_config):

parakeet/exps/transformer_tts/train.py → paddlespeech/t2s/exps/transformer_tts/train.py

@@ -27,16 +27,16 @@ from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 from yacs.config import CfgNode
 
-from parakeet.datasets.am_batch_fn import transformer_single_spk_batch_fn
-from parakeet.datasets.data_table import DataTable
-from parakeet.models.transformer_tts import TransformerTTS
-from parakeet.models.transformer_tts import TransformerTTSEvaluator
-from parakeet.models.transformer_tts import TransformerTTSUpdater
-from parakeet.training.extensions.snapshot import Snapshot
-from parakeet.training.extensions.visualizer import VisualDL
-from parakeet.training.optimizer import build_optimizers
-from parakeet.training.seeding import seed_everything
-from parakeet.training.trainer import Trainer
+from paddlespeech.t2s.datasets.am_batch_fn import transformer_single_spk_batch_fn
+from paddlespeech.t2s.datasets.data_table import DataTable
+from paddlespeech.t2s.models.transformer_tts import TransformerTTS
+from paddlespeech.t2s.models.transformer_tts import TransformerTTSEvaluator
+from paddlespeech.t2s.models.transformer_tts import TransformerTTSUpdater
+from paddlespeech.t2s.training.extensions.snapshot import Snapshot
+from paddlespeech.t2s.training.extensions.visualizer import VisualDL
+from paddlespeech.t2s.training.optimizer import build_optimizers
+from paddlespeech.t2s.training.seeding import seed_everything
+from paddlespeech.t2s.training.trainer import Trainer
 
 
 def train_sp(args, config):

parakeet/exps/voice_cloning/tacotron2_ge2e/aishell3.py → paddlespeech/t2s/exps/voice_cloning/tacotron2_ge2e/aishell3.py

@@ -17,11 +17,11 @@ from pathlib import Path
 import numpy as np
 from paddle.io import Dataset
 
-from parakeet.data import batch_spec
-from parakeet.data import batch_text_id
-from parakeet.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import _phones
-from parakeet.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import _tones
-from parakeet.frontend import Vocab
+from paddlespeech.t2s.data import batch_spec
+from paddlespeech.t2s.data import batch_text_id
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import _phones
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import _tones
+from paddlespeech.t2s.frontend import Vocab
 
 voc_phones = Vocab(sorted(list(_phones)))
 print("vocab_phones:\n", voc_phones)

parakeet/exps/voice_cloning/tacotron2_ge2e/chinese_g2p.py → paddlespeech/t2s/exps/voice_cloning/tacotron2_ge2e/chinese_g2p.py

@@ -17,7 +17,7 @@ from typing import Tuple
 from pypinyin import lazy_pinyin
 from pypinyin import Style
 
-from parakeet.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import split_syllable
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.preprocess_transcription import split_syllable
 
 
 def convert_to_pinyin(text: str) -> List[str]:

parakeet/exps/voice_cloning/tacotron2_ge2e/extract_mel.py → paddlespeech/t2s/exps/voice_cloning/tacotron2_ge2e/extract_mel.py

@@ -19,10 +19,10 @@ from pathlib import Path
 import numpy as np
 import tqdm
 
-from parakeet.audio import AudioProcessor
-from parakeet.audio.spec_normalizer import LogMagnitude
-from parakeet.audio.spec_normalizer import NormalizerBase
-from parakeet.exps.voice_cloning.tacotron2_ge2e.config import get_cfg_defaults
+from paddlespeech.t2s.audio import AudioProcessor
+from paddlespeech.t2s.audio.spec_normalizer import LogMagnitude
+from paddlespeech.t2s.audio.spec_normalizer import NormalizerBase
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.config import get_cfg_defaults
 
 
 def extract_mel(fname: Path,

parakeet/exps/voice_cloning/tacotron2_ge2e/train.py → paddlespeech/t2s/exps/voice_cloning/tacotron2_ge2e/train.py

@@ -22,16 +22,16 @@ from paddle import distributed as dist
 from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 
-from parakeet.data import dataset
-from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import AiShell3
-from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import collate_aishell3_examples
-from parakeet.exps.voice_cloning.tacotron2_ge2e.config import get_cfg_defaults
-from parakeet.models.tacotron2 import Tacotron2
-from parakeet.models.tacotron2 import Tacotron2Loss
-from parakeet.training.cli import default_argument_parser
-from parakeet.training.experiment import ExperimentBase
-from parakeet.utils import display
-from parakeet.utils import mp_tools
+from paddlespeech.t2s.data import dataset
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.aishell3 import AiShell3
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.aishell3 import collate_aishell3_examples
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.config import get_cfg_defaults
+from paddlespeech.t2s.models.tacotron2 import Tacotron2
+from paddlespeech.t2s.models.tacotron2 import Tacotron2Loss
+from paddlespeech.t2s.training.cli import default_argument_parser
+from paddlespeech.t2s.training.experiment import ExperimentBase
+from paddlespeech.t2s.utils import display
+from paddlespeech.t2s.utils import mp_tools
 
 
 class Experiment(ExperimentBase):

parakeet/exps/voice_cloning/tacotron2_ge2e/voice_cloning.py → paddlespeech/t2s/exps/voice_cloning/tacotron2_ge2e/voice_cloning.py

@@ -20,14 +20,14 @@ import paddle
 import soundfile as sf
 from matplotlib import pyplot as plt
 
-from parakeet.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
-from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import voc_phones
-from parakeet.exps.voice_cloning.tacotron2_ge2e.aishell3 import voc_tones
-from parakeet.exps.voice_cloning.tacotron2_ge2e.chinese_g2p import convert_sentence
-from parakeet.models.lstm_speaker_encoder import LSTMSpeakerEncoder
-from parakeet.models.tacotron2 import Tacotron2
-from parakeet.models.waveflow import ConditionalWaveFlow
-from parakeet.utils import display
+from paddlespeech.t2s.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.aishell3 import voc_phones
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.aishell3 import voc_tones
+from paddlespeech.t2s.exps.voice_cloning.tacotron2_ge2e.chinese_g2p import convert_sentence
+from paddlespeech.t2s.models.lstm_speaker_encoder import LSTMSpeakerEncoder
+from paddlespeech.t2s.models.tacotron2 import Tacotron2
+from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow
+from paddlespeech.t2s.utils import display
 
 
 def voice_cloning(args):

parakeet/exps/waveflow/ljspeech.py → paddlespeech/t2s/exps/waveflow/ljspeech.py

@@ -17,8 +17,8 @@ import numpy as np
 import pandas
 from paddle.io import Dataset
 
-from parakeet.data.batch import batch_spec
-from parakeet.data.batch import batch_wav
+from paddlespeech.t2s.data.batch import batch_spec
+from paddlespeech.t2s.data.batch import batch_wav
 
 
 class LJSpeech(Dataset):

parakeet/exps/waveflow/preprocess.py → paddlespeech/t2s/exps/waveflow/preprocess.py

@@ -20,9 +20,9 @@ import numpy as np
 import pandas as pd
 import tqdm
 
-from parakeet.audio import LogMagnitude
-from parakeet.datasets import LJSpeechMetaData
-from parakeet.exps.waveflow.config import get_cfg_defaults
+from paddlespeech.t2s.audio import LogMagnitude
+from paddlespeech.t2s.datasets import LJSpeechMetaData
+from paddlespeech.t2s.exps.waveflow.config import get_cfg_defaults
 
 
 class Transform(object):

parakeet/exps/waveflow/synthesize.py → paddlespeech/t2s/exps/waveflow/synthesize.py

@@ -19,9 +19,9 @@ import numpy as np
 import paddle
 import soundfile as sf
 
-from parakeet.exps.waveflow.config import get_cfg_defaults
-from parakeet.models.waveflow import ConditionalWaveFlow
-from parakeet.utils import layer_tools
+from paddlespeech.t2s.exps.waveflow.config import get_cfg_defaults
+from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow
+from paddlespeech.t2s.utils import layer_tools
 
 
 def main(config, args):

parakeet/exps/waveflow/train.py → paddlespeech/t2s/exps/waveflow/train.py

@@ -19,16 +19,16 @@ from paddle import distributed as dist
 from paddle.io import DataLoader
 from paddle.io import DistributedBatchSampler
 
-from parakeet.data import dataset
-from parakeet.exps.waveflow.config import get_cfg_defaults
-from parakeet.exps.waveflow.ljspeech import LJSpeech
-from parakeet.exps.waveflow.ljspeech import LJSpeechClipCollector
-from parakeet.exps.waveflow.ljspeech import LJSpeechCollector
-from parakeet.models.waveflow import ConditionalWaveFlow
-from parakeet.models.waveflow import WaveFlowLoss
-from parakeet.training.cli import default_argument_parser
-from parakeet.training.experiment import ExperimentBase
-from parakeet.utils import mp_tools
+from paddlespeech.t2s.data import dataset
+from paddlespeech.t2s.exps.waveflow.config import get_cfg_defaults
+from paddlespeech.t2s.exps.waveflow.ljspeech import LJSpeech
+from paddlespeech.t2s.exps.waveflow.ljspeech import LJSpeechClipCollector
+from paddlespeech.t2s.exps.waveflow.ljspeech import LJSpeechCollector
+from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow
+from paddlespeech.t2s.models.waveflow import WaveFlowLoss
+from paddlespeech.t2s.training.cli import default_argument_parser
+from paddlespeech.t2s.training.experiment import ExperimentBase
+from paddlespeech.t2s.utils import mp_tools
 
 
 class Experiment(ExperimentBase):

parakeet/frontend/arpabet.py → paddlespeech/t2s/frontend/arpabet.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from parakeet.frontend.phonectic import Phonetics
+from paddlespeech.t2s.frontend.phonectic import Phonetics
 """
 A phonology system with ARPABET symbols and limited punctuations. The G2P 
 conversion is done by g2p_en.
@@ -19,7 +19,7 @@ conversion is done by g2p_en.
 Note that g2p_en does not handle words with hypen well. So make sure the input
 sentence is first normalized.
 """
-from parakeet.frontend.vocab import Vocab
+from paddlespeech.t2s.frontend.vocab import Vocab
 from g2p_en import G2p
 
 

paddlespeech/t2s/frontend/normalizer/__init__.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from paddlespeech.t2s.frontend.normalizer.normalizer import *
+from paddlespeech.t2s.frontend.normalizer.numbers import *

parakeet/frontend/normalizer/normalizer.py → paddlespeech/t2s/frontend/normalizer/normalizer.py

@@ -15,7 +15,7 @@ import re
 import unicodedata
 from builtins import str as unicode
 
-from parakeet.frontend.normalizer.numbers import normalize_numbers
+from paddlespeech.t2s.frontend.normalizer.numbers import normalize_numbers
 
 
 def normalize(sentence):

parakeet/frontend/phonectic.py → paddlespeech/t2s/frontend/phonectic.py

@@ -17,9 +17,9 @@ from abc import abstractmethod
 from g2p_en import G2p
 from g2pM import G2pM
 
-from parakeet.frontend.normalizer.normalizer import normalize
-from parakeet.frontend.punctuation import get_punctuations
-from parakeet.frontend.vocab import Vocab
+from paddlespeech.t2s.frontend.normalizer.normalizer import normalize
+from paddlespeech.t2s.frontend.punctuation import get_punctuations
+from paddlespeech.t2s.frontend.vocab import Vocab
 
 # discard opencc untill we find an easy solution to install it on windows
 # from opencc import OpenCC

parakeet/frontend/pinyin.py → paddlespeech/t2s/frontend/pinyin.py

@@ -26,8 +26,8 @@ from pypinyin.core import DefaultConverter
 from pypinyin.core import Pinyin
 from pypinyin.core import Style
 
-from parakeet.frontend.phonectic import Phonetics
-from parakeet.frontend.vocab import Vocab
+from paddlespeech.t2s.frontend.phonectic import Phonetics
+from paddlespeech.t2s.frontend.vocab import Vocab
 
 _punctuations = ['，', '。', '？', '！']
 _initials = [

parakeet/frontend/zh_frontend.py → paddlespeech/t2s/frontend/zh_frontend.py

@@ -22,9 +22,9 @@ from g2pM import G2pM
 from pypinyin import lazy_pinyin
 from pypinyin import Style
 
-from parakeet.frontend.generate_lexicon import generate_lexicon
-from parakeet.frontend.tone_sandhi import ToneSandhi
-from parakeet.frontend.zh_normalization.text_normlization import TextNormalizer
+from paddlespeech.t2s.frontend.generate_lexicon import generate_lexicon
+from paddlespeech.t2s.frontend.tone_sandhi import ToneSandhi
+from paddlespeech.t2s.frontend.zh_normalization.text_normlization import TextNormalizer
 
 
 class Frontend():

paddlespeech/t2s/frontend/zh_normalization/__init__.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from paddlespeech.t2s.frontend.zh_normalization.text_normlization import *

parakeet/models/fastspeech2/fastspeech2.py → paddlespeech/t2s/models/fastspeech2/fastspeech2.py

@@ -21,17 +21,17 @@ import paddle.nn.functional as F
 from paddle import nn
 from typeguard import check_argument_types
 
-from parakeet.modules.fastspeech2_predictor.duration_predictor import DurationPredictor
-from parakeet.modules.fastspeech2_predictor.duration_predictor import DurationPredictorLoss
-from parakeet.modules.fastspeech2_predictor.length_regulator import LengthRegulator
-from parakeet.modules.fastspeech2_predictor.variance_predictor import VariancePredictor
-from parakeet.modules.fastspeech2_transformer.embedding import PositionalEncoding
-from parakeet.modules.fastspeech2_transformer.embedding import ScaledPositionalEncoding
-from parakeet.modules.fastspeech2_transformer.encoder import Encoder as TransformerEncoder
-from parakeet.modules.nets_utils import initialize
-from parakeet.modules.nets_utils import make_non_pad_mask
-from parakeet.modules.nets_utils import make_pad_mask
-from parakeet.modules.tacotron2.decoder import Postnet
+from paddlespeech.t2s.modules.fastspeech2_predictor.duration_predictor import DurationPredictor
+from paddlespeech.t2s.modules.fastspeech2_predictor.duration_predictor import DurationPredictorLoss
+from paddlespeech.t2s.modules.fastspeech2_predictor.length_regulator import LengthRegulator
+from paddlespeech.t2s.modules.fastspeech2_predictor.variance_predictor import VariancePredictor
+from paddlespeech.t2s.modules.fastspeech2_transformer.embedding import PositionalEncoding
+from paddlespeech.t2s.modules.fastspeech2_transformer.embedding import ScaledPositionalEncoding
+from paddlespeech.t2s.modules.fastspeech2_transformer.encoder import Encoder as TransformerEncoder
+from paddlespeech.t2s.modules.nets_utils import initialize
+from paddlespeech.t2s.modules.nets_utils import make_non_pad_mask
+from paddlespeech.t2s.modules.nets_utils import make_pad_mask
+from paddlespeech.t2s.modules.tacotron2.decoder import Postnet
 
 
 class FastSpeech2(nn.Layer):

parakeet/models/fastspeech2/fastspeech2_updater.py → paddlespeech/t2s/models/fastspeech2/fastspeech2_updater.py

@@ -15,10 +15,10 @@ import logging
 
 from paddle import distributed as dist
 
-from parakeet.models.fastspeech2 import FastSpeech2Loss
-from parakeet.training.extensions.evaluator import StandardEvaluator
-from parakeet.training.reporter import report
-from parakeet.training.updaters.standard_updater import StandardUpdater
+from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Loss
+from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.updaters.standard_updater import StandardUpdater
 logging.basicConfig(
     format='%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s',
     datefmt='[%Y-%m-%d %H:%M:%S]')

parakeet/models/melgan/melgan.py → paddlespeech/t2s/models/melgan/melgan.py

@@ -20,11 +20,11 @@ import numpy as np
 import paddle
 from paddle import nn
 
-from parakeet.modules.causal_conv import CausalConv1D
-from parakeet.modules.causal_conv import CausalConv1DTranspose
-from parakeet.modules.nets_utils import initialize
-from parakeet.modules.pqmf import PQMF
-from parakeet.modules.residual_stack import ResidualStack
+from paddlespeech.t2s.modules.causal_conv import CausalConv1D
+from paddlespeech.t2s.modules.causal_conv import CausalConv1DTranspose
+from paddlespeech.t2s.modules.nets_utils import initialize
+from paddlespeech.t2s.modules.pqmf import PQMF
+from paddlespeech.t2s.modules.residual_stack import ResidualStack
 
 
 class MelGANGenerator(nn.Layer):

parakeet/models/melgan/multi_band_melgan_updater.py → paddlespeech/t2s/models/melgan/multi_band_melgan_updater.py

@@ -21,10 +21,10 @@ from paddle.nn import Layer
 from paddle.optimizer import Optimizer
 from paddle.optimizer.lr import LRScheduler
 
-from parakeet.training.extensions.evaluator import StandardEvaluator
-from parakeet.training.reporter import report
-from parakeet.training.updaters.standard_updater import StandardUpdater
-from parakeet.training.updaters.standard_updater import UpdaterState
+from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.updaters.standard_updater import StandardUpdater
+from paddlespeech.t2s.training.updaters.standard_updater import UpdaterState
 logging.basicConfig(
     format='%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s',
     datefmt='[%Y-%m-%d %H:%M:%S]')

parakeet/models/parallel_wavegan/parallel_wavegan_updater.py → paddlespeech/t2s/models/parallel_wavegan/parallel_wavegan_updater.py

@@ -22,10 +22,10 @@ from paddle.optimizer import Optimizer
 from paddle.optimizer.lr import LRScheduler
 from timer import timer
 
-from parakeet.training.extensions.evaluator import StandardEvaluator
-from parakeet.training.reporter import report
-from parakeet.training.updaters.standard_updater import StandardUpdater
-from parakeet.training.updaters.standard_updater import UpdaterState
+from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.updaters.standard_updater import StandardUpdater
+from paddlespeech.t2s.training.updaters.standard_updater import UpdaterState
 logging.basicConfig(
     format='%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s',
     datefmt='[%Y-%m-%d %H:%M:%S]')

parakeet/models/speedyspeech/speedyspeech.py → paddlespeech/t2s/models/speedyspeech/speedyspeech.py

@@ -14,8 +14,8 @@
 import paddle
 from paddle import nn
 
-from parakeet.modules.expansion import expand
-from parakeet.modules.positional_encoding import sinusoid_position_encoding
+from paddlespeech.t2s.modules.expansion import expand
+from paddlespeech.t2s.modules.positional_encoding import sinusoid_position_encoding
 
 
 class ResidualBlock(nn.Layer):

parakeet/models/speedyspeech/speedyspeech_updater.py → paddlespeech/t2s/models/speedyspeech/speedyspeech_updater.py

@@ -18,12 +18,12 @@ from paddle import distributed as dist
 from paddle.fluid.layers import huber_loss
 from paddle.nn import functional as F
 
-from parakeet.modules.losses import masked_l1_loss
-from parakeet.modules.losses import weighted_mean
-from parakeet.modules.ssim import ssim
-from parakeet.training.extensions.evaluator import StandardEvaluator
-from parakeet.training.reporter import report
-from parakeet.training.updaters.standard_updater import StandardUpdater
+from paddlespeech.t2s.modules.losses import masked_l1_loss
+from paddlespeech.t2s.modules.losses import weighted_mean
+from paddlespeech.t2s.modules.ssim import ssim
+from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.updaters.standard_updater import StandardUpdater
 logging.basicConfig(
     format='%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s',
     datefmt='[%Y-%m-%d %H:%M:%S]')

parakeet/models/tacotron2.py → paddlespeech/t2s/models/tacotron2.py

@@ -20,10 +20,10 @@ from paddle.nn import functional as F
 from paddle.nn import initializer as I
 from tqdm import trange
 
-from parakeet.modules.attention import LocationSensitiveAttention
-from parakeet.modules.conv import Conv1dBatchNorm
-from parakeet.modules.losses import guided_attention_loss
-from parakeet.utils import checkpoint
+from paddlespeech.t2s.modules.attention import LocationSensitiveAttention
+from paddlespeech.t2s.modules.conv import Conv1dBatchNorm
+from paddlespeech.t2s.modules.losses import guided_attention_loss
+from paddlespeech.t2s.utils import checkpoint
 
 __all__ = ["Tacotron2", "Tacotron2Loss"]
 

parakeet/models/transformer_tts/transformer_tts.py → paddlespeech/t2s/models/transformer_tts/transformer_tts.py

@@ -22,19 +22,19 @@ import paddle.nn.functional as F
 from paddle import nn
 from typeguard import check_argument_types
 
-from parakeet.modules.fastspeech2_transformer.attention import MultiHeadedAttention
-from parakeet.modules.fastspeech2_transformer.decoder import Decoder
-from parakeet.modules.fastspeech2_transformer.embedding import PositionalEncoding
-from parakeet.modules.fastspeech2_transformer.embedding import ScaledPositionalEncoding
-from parakeet.modules.fastspeech2_transformer.encoder import Encoder
-from parakeet.modules.fastspeech2_transformer.mask import subsequent_mask
-from parakeet.modules.nets_utils import initialize
-from parakeet.modules.nets_utils import make_non_pad_mask
-from parakeet.modules.nets_utils import make_pad_mask
-from parakeet.modules.style_encoder import StyleEncoder
-from parakeet.modules.tacotron2.decoder import Postnet
-from parakeet.modules.tacotron2.decoder import Prenet as DecoderPrenet
-from parakeet.modules.tacotron2.encoder import Encoder as EncoderPrenet
+from paddlespeech.t2s.modules.fastspeech2_transformer.attention import MultiHeadedAttention
+from paddlespeech.t2s.modules.fastspeech2_transformer.decoder import Decoder
+from paddlespeech.t2s.modules.fastspeech2_transformer.embedding import PositionalEncoding
+from paddlespeech.t2s.modules.fastspeech2_transformer.embedding import ScaledPositionalEncoding
+from paddlespeech.t2s.modules.fastspeech2_transformer.encoder import Encoder
+from paddlespeech.t2s.modules.fastspeech2_transformer.mask import subsequent_mask
+from paddlespeech.t2s.modules.nets_utils import initialize
+from paddlespeech.t2s.modules.nets_utils import make_non_pad_mask
+from paddlespeech.t2s.modules.nets_utils import make_pad_mask
+from paddlespeech.t2s.modules.style_encoder import StyleEncoder
+from paddlespeech.t2s.modules.tacotron2.decoder import Postnet
+from paddlespeech.t2s.modules.tacotron2.decoder import Prenet as DecoderPrenet
+from paddlespeech.t2s.modules.tacotron2.encoder import Encoder as EncoderPrenet
 
 
 class TransformerTTS(nn.Layer):

parakeet/models/transformer_tts/transformer_tts_updater.py → paddlespeech/t2s/models/transformer_tts/transformer_tts_updater.py

@@ -17,11 +17,11 @@ from typing import Sequence
 import paddle
 from paddle import distributed as dist
 
-from parakeet.models.transformer_tts import GuidedMultiHeadAttentionLoss
-from parakeet.models.transformer_tts import TransformerTTSLoss
-from parakeet.training.extensions.evaluator import StandardEvaluator
-from parakeet.training.reporter import report
-from parakeet.training.updaters.standard_updater import StandardUpdater
+from paddlespeech.t2s.models.transformer_tts import GuidedMultiHeadAttentionLoss
+from paddlespeech.t2s.models.transformer_tts import TransformerTTSLoss
+from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.updaters.standard_updater import StandardUpdater
 logging.basicConfig(
     format='%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s',
     datefmt='[%Y-%m-%d %H:%M:%S]')

parakeet/models/waveflow.py → paddlespeech/t2s/models/waveflow.py

@@ -23,8 +23,8 @@ from paddle import nn
 from paddle.nn import functional as F
 from paddle.nn import initializer as I
 
-from parakeet.modules import geometry as geo
-from parakeet.utils import checkpoint
+from paddlespeech.t2s.modules import geometry as geo
+from paddlespeech.t2s.utils import checkpoint
 
 __all__ = ["WaveFlow", "ConditionalWaveFlow", "WaveFlowLoss"]
 

parakeet/modules/fastspeech2_predictor/duration_predictor.py → paddlespeech/t2s/modules/fastspeech2_predictor/duration_predictor.py

@@ -15,8 +15,8 @@
 import paddle
 from paddle import nn
 
-from parakeet.modules.layer_norm import LayerNorm
-from parakeet.modules.masked_fill import masked_fill
+from paddlespeech.t2s.modules.layer_norm import LayerNorm
+from paddlespeech.t2s.modules.masked_fill import masked_fill
 
 
 class DurationPredictor(nn.Layer):

parakeet/modules/fastspeech2_predictor/variance_predictor.py → paddlespeech/t2s/modules/fastspeech2_predictor/variance_predictor.py

@@ -16,8 +16,8 @@ import paddle
 from paddle import nn
 from typeguard import check_argument_types
 
-from parakeet.modules.layer_norm import LayerNorm
-from parakeet.modules.masked_fill import masked_fill
+from paddlespeech.t2s.modules.layer_norm import LayerNorm
+from paddlespeech.t2s.modules.masked_fill import masked_fill
 
 
 class VariancePredictor(nn.Layer):

parakeet/modules/fastspeech2_transformer/attention.py → paddlespeech/t2s/modules/fastspeech2_transformer/attention.py

@@ -18,7 +18,7 @@ import numpy
 import paddle
 from paddle import nn
 
-from parakeet.modules.masked_fill import masked_fill
+from paddlespeech.t2s.modules.masked_fill import masked_fill
 
 
 class MultiHeadedAttention(nn.Layer):

parakeet/modules/fastspeech2_transformer/decoder.py → paddlespeech/t2s/modules/fastspeech2_transformer/decoder.py

@@ -22,14 +22,14 @@ import paddle
 import paddle.nn.functional as F
 from paddle import nn
 
-from parakeet.modules.fastspeech2_transformer.attention import MultiHeadedAttention
-from parakeet.modules.fastspeech2_transformer.decoder_layer import DecoderLayer
-from parakeet.modules.fastspeech2_transformer.embedding import PositionalEncoding
-from parakeet.modules.fastspeech2_transformer.lightconv import LightweightConvolution
-from parakeet.modules.fastspeech2_transformer.mask import subsequent_mask
-from parakeet.modules.fastspeech2_transformer.positionwise_feed_forward import PositionwiseFeedForward
-from parakeet.modules.fastspeech2_transformer.repeat import repeat
-from parakeet.modules.layer_norm import LayerNorm
+from paddlespeech.t2s.modules.fastspeech2_transformer.attention import MultiHeadedAttention
+from paddlespeech.t2s.modules.fastspeech2_transformer.decoder_layer import DecoderLayer
+from paddlespeech.t2s.modules.fastspeech2_transformer.embedding import PositionalEncoding
+from paddlespeech.t2s.modules.fastspeech2_transformer.lightconv import LightweightConvolution
+from paddlespeech.t2s.modules.fastspeech2_transformer.mask import subsequent_mask
+from paddlespeech.t2s.modules.fastspeech2_transformer.positionwise_feed_forward import PositionwiseFeedForward
+from paddlespeech.t2s.modules.fastspeech2_transformer.repeat import repeat
+from paddlespeech.t2s.modules.layer_norm import LayerNorm
 
 
 class Decoder(nn.Layer):

parakeet/modules/fastspeech2_transformer/decoder_layer.py → paddlespeech/t2s/modules/fastspeech2_transformer/decoder_layer.py

@@ -15,7 +15,7 @@
 import paddle
 from paddle import nn
 
-from parakeet.modules.layer_norm import LayerNorm
+from paddlespeech.t2s.modules.layer_norm import LayerNorm
 
 
 class DecoderLayer(nn.Layer):

parakeet/modules/fastspeech2_transformer/encoder.py → paddlespeech/t2s/modules/fastspeech2_transformer/encoder.py

@@ -15,13 +15,13 @@ import logging
 
 from paddle import nn
 
-from parakeet.modules.fastspeech2_transformer.attention import MultiHeadedAttention
-from parakeet.modules.fastspeech2_transformer.embedding import PositionalEncoding
-from parakeet.modules.fastspeech2_transformer.encoder_layer import EncoderLayer
-from parakeet.modules.fastspeech2_transformer.multi_layer_conv import Conv1dLinear
-from parakeet.modules.fastspeech2_transformer.multi_layer_conv import MultiLayeredConv1d
-from parakeet.modules.fastspeech2_transformer.positionwise_feed_forward import PositionwiseFeedForward
-from parakeet.modules.fastspeech2_transformer.repeat import repeat
+from paddlespeech.t2s.modules.fastspeech2_transformer.attention import MultiHeadedAttention
+from paddlespeech.t2s.modules.fastspeech2_transformer.embedding import PositionalEncoding
+from paddlespeech.t2s.modules.fastspeech2_transformer.encoder_layer import EncoderLayer
+from paddlespeech.t2s.modules.fastspeech2_transformer.multi_layer_conv import Conv1dLinear
+from paddlespeech.t2s.modules.fastspeech2_transformer.multi_layer_conv import MultiLayeredConv1d
+from paddlespeech.t2s.modules.fastspeech2_transformer.positionwise_feed_forward import PositionwiseFeedForward
+from paddlespeech.t2s.modules.fastspeech2_transformer.repeat import repeat
 
 
 class Encoder(nn.Layer):

parakeet/modules/fastspeech2_transformer/lightconv.py → paddlespeech/t2s/modules/fastspeech2_transformer/lightconv.py

@@ -17,8 +17,8 @@ import paddle
 import paddle.nn.functional as F
 from paddle import nn
 
-from parakeet.modules.glu import GLU
-from parakeet.modules.masked_fill import masked_fill
+from paddlespeech.t2s.modules.glu import GLU
+from paddlespeech.t2s.modules.masked_fill import masked_fill
 
 MIN_VALUE = float(numpy.finfo(numpy.float32).min)
 

parakeet/modules/residual_stack.py → paddlespeech/t2s/modules/residual_stack.py

@@ -17,7 +17,7 @@ from typing import Dict
 
 from paddle import nn
 
-from parakeet.modules.causal_conv import CausalConv1D
+from paddlespeech.t2s.modules.causal_conv import CausalConv1D
 
 
 class ResidualStack(nn.Layer):

parakeet/modules/style_encoder.py → paddlespeech/t2s/modules/style_encoder.py

@@ -18,7 +18,7 @@ import paddle
 from paddle import nn
 from typeguard import check_argument_types
 
-from parakeet.modules.fastspeech2_transformer.attention import MultiHeadedAttention as BaseMultiHeadedAttention
+from paddlespeech.t2s.modules.fastspeech2_transformer.attention import MultiHeadedAttention as BaseMultiHeadedAttention
 
 
 class StyleEncoder(nn.Layer):

parakeet/modules/transformer.py → paddlespeech/t2s/modules/transformer.py

@@ -14,7 +14,7 @@
 from paddle import nn
 from paddle.nn import functional as F
 
-from parakeet.modules import attention as attn
+from paddlespeech.t2s.modules import attention as attn
 
 __all__ = [
     "PositionwiseFFN",

parakeet/training/cli.py → paddlespeech/t2s/training/cli.py

@@ -15,10 +15,10 @@ import argparse
 
 
 def default_argument_parser():
-    r"""A simple yet genral argument parser for experiments with parakeet.
+    r"""A simple yet genral argument parser for experiments with t2s.
     
-    This is used in examples with parakeet. And it is intended to be used by 
-    other experiments with parakeet. It requires a minimal set of command line 
+    This is used in examples with t2s. And it is intended to be used by 
+    other experiments with t2s. It requires a minimal set of command line 
     arguments to start a training script.
     
     The ``--config`` and ``--opts`` are used for overwrite the deault 
@@ -34,7 +34,7 @@ def default_argument_parser():
     
     See Also
     --------
-    parakeet.training.experiment
+    paddlespeech.t2s.training.experiment
 
     Returns
     -------

parakeet/training/experiment.py → paddlespeech/t2s/training/experiment.py

@@ -20,8 +20,8 @@ from paddle import distributed as dist
 from paddle.io import DistributedBatchSampler
 from visualdl import LogWriter
 
-from parakeet.utils import checkpoint
-from parakeet.utils import mp_tools
+from paddlespeech.t2s.utils import checkpoint
+from paddlespeech.t2s.utils import mp_tools
 
 __all__ = ["ExperimentBase"]
 

parakeet/training/extensions/evaluator.py → paddlespeech/t2s/training/extensions/evaluator.py

@@ -17,10 +17,10 @@ import paddle
 from paddle.io import DataLoader
 from paddle.nn import Layer
 
-from parakeet.training import extension
-from parakeet.training.reporter import DictSummary
-from parakeet.training.reporter import report
-from parakeet.training.reporter import scope
+from paddlespeech.t2s.training import extension
+from paddlespeech.t2s.training.reporter import DictSummary
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.reporter import scope
 
 
 class StandardEvaluator(extension.Extension):

parakeet/training/extensions/snapshot.py → paddlespeech/t2s/training/extensions/snapshot.py

@@ -21,9 +21,9 @@ from typing import List
 
 import jsonlines
 
-from parakeet.training import extension
-from parakeet.training.trainer import Trainer
-from parakeet.utils.mp_tools import rank_zero_only
+from paddlespeech.t2s.training import extension
+from paddlespeech.t2s.training.trainer import Trainer
+from paddlespeech.t2s.utils.mp_tools import rank_zero_only
 
 
 def load_records(records_fp):

parakeet/training/extensions/visualizer.py → paddlespeech/t2s/training/extensions/visualizer.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 from visualdl import LogWriter
 
-from parakeet.training import extension
-from parakeet.training.trainer import Trainer
+from paddlespeech.t2s.training import extension
+from paddlespeech.t2s.training.trainer import Trainer
 
 
 class VisualDL(extension.Extension):

parakeet/training/trainer.py → paddlespeech/t2s/training/trainer.py

@@ -21,13 +21,13 @@ from typing import Union
 
 import six
 
-from parakeet.training.extension import Extension
-from parakeet.training.extension import PRIORITY_READER
-from parakeet.training.reporter import scope
-from parakeet.training.trigger import get_trigger
-from parakeet.training.triggers.limit_trigger import LimitTrigger
-from parakeet.training.updater import UpdaterBase
-from parakeet.utils import profiler
+from paddlespeech.t2s.training.extension import Extension
+from paddlespeech.t2s.training.extension import PRIORITY_READER
+from paddlespeech.t2s.training.reporter import scope
+from paddlespeech.t2s.training.trigger import get_trigger
+from paddlespeech.t2s.training.triggers.limit_trigger import LimitTrigger
+from paddlespeech.t2s.training.updater import UpdaterBase
+from paddlespeech.t2s.utils import profiler
 
 
 class _ExtensionEntry(object):

parakeet/training/trigger.py → paddlespeech/t2s/training/trigger.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from parakeet.training.triggers.interval_trigger import IntervalTrigger
+from paddlespeech.t2s.training.triggers.interval_trigger import IntervalTrigger
 
 
 def never_fail_trigger(trainer):

parakeet/training/updaters/standard_updater.py → paddlespeech/t2s/training/updaters/standard_updater.py

@@ -23,9 +23,9 @@ from paddle.nn import Layer
 from paddle.optimizer import Optimizer
 from timer import timer
 
-from parakeet.training.reporter import report
-from parakeet.training.updater import UpdaterBase
-from parakeet.training.updater import UpdaterState
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.updater import UpdaterBase
+from paddlespeech.t2s.training.updater import UpdaterState
 
 
 class StandardUpdater(UpdaterBase):

parakeet/utils/checkpoint.py → paddlespeech/t2s/utils/checkpoint.py

@@ -16,7 +16,7 @@ import os
 import paddle
 from paddle import distributed as dist
 
-from parakeet.utils import mp_tools
+from paddlespeech.t2s.utils import mp_tools
 
 __all__ = ["load_parameters", "save_parameters"]
 

text_processing/speechtask/punctuation_restoration/utils/default_parser.py → paddlespeech/text/speechtask/punctuation_restoration/utils/default_parser.py

@@ -15,10 +15,10 @@ import argparse
 
 
 def default_argument_parser():
-    r"""A simple yet genral argument parser for experiments with parakeet.
+    r"""A simple yet genral argument parser for experiments with t2s.
     
-    This is used in examples with parakeet. And it is intended to be used by 
-    other experiments with parakeet. It requires a minimal set of command line 
+    This is used in examples with t2s. And it is intended to be used by 
+    other experiments with t2s. It requires a minimal set of command line 
     arguments to start a training script.
     
     The ``--config`` and ``--opts`` are used for overwrite the deault 
@@ -35,7 +35,7 @@ def default_argument_parser():
     
     See Also
     --------
-    parakeet.training.experiment
+    paddlespeech.t2s.training.experiment
     Returns
     -------
     argparse.ArgumentParser

parakeet/frontend/normalizer/__init__.py

-# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from parakeet.frontend.normalizer.normalizer import *
-from parakeet.frontend.normalizer.numbers import *

parakeet/frontend/zh_normalization/__init__.py

-# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from parakeet.frontend.zh_normalization.text_normlization import *

setup.py

@@ -80,7 +80,7 @@ def _post_install(install_lib_dir):
     print("autolog install.")
 
     # ctcdecoder
-    ctcdecoder_dir = HERE / 'deepspeech/decoders/ctcdecoder/swig'
+    ctcdecoder_dir = HERE / 'paddlespeech/s2t/decoders/ctcdecoder/swig'
     with pushd(ctcdecoder_dir):
         check_call("bash -e setup.sh")
     print("ctcdecoder install.")

setup.sh

@@ -69,7 +69,7 @@ fi
 # install decoders
 python3 -c "import pkg_resources; pkg_resources.require(\"swig_decoders==1.1\")"
 if [ $? != 0 ]; then
-    cd deepspeech/decoders/ctcdecoder/swig > /dev/null
+    cd paddlespeech/s2t/decoders/ctcdecoder/swig > /dev/null
     bash setup.sh
     cd - > /dev/null
 fi

tests/benchmark/pwgan/README.md

@@ -5,7 +5,7 @@
 即可运行.
 执行逻辑：
 1. cd 到 ../../../ (也就是 Deepspeech 目录)
-2. 安装 parakeet 所需依赖
+2. 安装 paddlespeech/t2s 所需依赖
 3. 从 bos 下载数据集并解压缩
 4. 预处理数据集为训练 pwg 所需格式，保存到 Deepspeech/dump 文件夹底下
 5. 按照不同的参数执行 run_benchmark.sh 脚本

tests/benchmark/pwgan/run_all.sh

@@ -25,11 +25,11 @@ fi
 # 数据预处理
 if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
 
-      python3 parakeet/exps/gan_vocoder/preprocess.py --rootdir=BZNSYP/ --dumpdir=dump --num-cpu=20 --cut-sil=True --dur-file=durations.txt --config=examples/csmsc/voc1/conf/default.yaml
+      python3 paddlespeech/t2s/exps/gan_vocoder/preprocess.py --rootdir=BZNSYP/ --dumpdir=dump --num-cpu=20 --cut-sil=True --dur-file=durations.txt --config=examples/csmsc/voc1/conf/default.yaml
       python3 utils/compute_statistics.py --metadata=dump/train/raw/metadata.jsonl --field-name="feats"
-      python3 parakeet/exps/gan_vocoder/normalize.py --metadata=dump/train/raw/metadata.jsonl --dumpdir=dump/train/norm --stats=dump/train/feats_stats.npy
-      python3 parakeet/exps/gan_vocoder/normalize.py --metadata=dump/dev/raw/metadata.jsonl --dumpdir=dump/dev/norm --stats=dump/train/feats_stats.npy
-      python3 parakeet/exps/gan_vocoder/normalize.py --metadata=dump/test/raw/metadata.jsonl --dumpdir=dump/test/norm --stats=dump/train/feats_stats.npy
+      python3 paddlespeech/t2s/exps/gan_vocoder/normalize.py --metadata=dump/train/raw/metadata.jsonl --dumpdir=dump/train/norm --stats=dump/train/feats_stats.npy
+      python3 paddlespeech/t2s/exps/gan_vocoder/normalize.py --metadata=dump/dev/raw/metadata.jsonl --dumpdir=dump/dev/norm --stats=dump/train/feats_stats.npy
+      python3 paddlespeech/t2s/exps/gan_vocoder/normalize.py --metadata=dump/test/raw/metadata.jsonl --dumpdir=dump/test/norm --stats=dump/train/feats_stats.npy
 fi
 # 3 批量运行（如不方便批量，1，2需放到单个模型中）
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then

tests/benchmark/pwgan/run_benchmark.sh

@@ -29,8 +29,8 @@ function _train(){
                --run-benchmark=true"   
 
     case ${run_mode} in
-    sp) train_cmd="python3 parakeet/exps/gan_vocoder/parallelwave_gan/train.py --nprocs=1 ${train_cmd}" ;;
-    mp) train_cmd="python3 parakeet/exps/gan_vocoder/parallelwave_gan/train.py --nprocs=8 ${train_cmd}"
+    sp) train_cmd="python3 paddlespeech/t2s/exps/gan_vocoder/parallelwave_gan/train.py --nprocs=1 ${train_cmd}" ;;
+    mp) train_cmd="python3 paddlespeech/t2s/exps/gan_vocoder/parallelwave_gan/train.py --nprocs=8 ${train_cmd}"
         log_parse_file="mylog/workerlog.0" ;;
     *) echo "choose run_mode(sp or mp)"; exit 1;
     esac

tests/chains/ds2/ds2_params_lite_train_infer.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train: ../../../deepspeech/exps/deepspeech2/bin/train.py --config conf/deepspeech2.yaml --model_type offline --profiler-options "" --output exp/deepspeech_tiny --seed 0
+norm_train: ../../../paddlespeech/s2t/exps/deepspeech2/bin/train.py --config conf/deepspeech2.yaml --model_type offline --profiler-options "" --output exp/deepspeech_tiny --seed 0
 pact_train:null
 fpgm_train:null
 distill_train:null
@@ -21,13 +21,13 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval: ../../../deepspeech/exps/deepspeech2/bin/test.py --nproc 1 --config conf/deepspeech2.yaml --checkpoint_path exp/deepspeech_tiny/checkpoints/9 --result_file tests/9.rsl  --model_type offline
+eval: ../../../paddlespeech/s2t/exps/deepspeech2/bin/test.py --nproc 1 --config conf/deepspeech2.yaml --checkpoint_path exp/deepspeech_tiny/checkpoints/9 --result_file tests/9.rsl  --model_type offline
 null:null
 ##
 ===========================infer_params===========================
 null:null
 null:null
-norm_export: ../../../deepspeech/exps/deepspeech2/bin/export.py --nproc 1 --config conf/deepspeech2.yaml --model_type offline --checkpoint_path exp/deepspeech_tiny/checkpoints/9 --export_path exp/deepspeech_tiny/checkpoints/9.jit
+norm_export: ../../../paddlespeech/s2t/exps/deepspeech2/bin/export.py --nproc 1 --config conf/deepspeech2.yaml --model_type offline --checkpoint_path exp/deepspeech_tiny/checkpoints/9 --export_path exp/deepspeech_tiny/checkpoints/9.jit
 quant_export:null
 fpgm_export:null
 distill_export:null

tests/chains/ds2/ds2_params_whole_train_infer.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train: ../../../deepspeech/exps/deepspeech2/bin/train.py --config conf/deepspeech2.yaml --model_type offline --profiler-options "" --output exp/deepspeech_whole --seed 0
+norm_train: ../../../paddlespeech/s2t/exps/deepspeech2/bin/train.py --config conf/deepspeech2.yaml --model_type offline --profiler-options "" --output exp/deepspeech_whole --seed 0
 pact_train:null
 fpgm_train:null
 distill_train:null
@@ -21,13 +21,13 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval: ../../../deepspeech/exps/deepspeech2/bin/test.py --nproc 1 --config conf/deepspeech2.yaml --result_file tests/49.rsl --checkpoint_path exp/deepspeech_whole/checkpoints/49 --model_type offline
+eval: ../../../paddlespeech/s2t/exps/deepspeech2/bin/test.py --nproc 1 --config conf/deepspeech2.yaml --result_file tests/49.rsl --checkpoint_path exp/deepspeech_whole/checkpoints/49 --model_type offline
 null:null
 ##
 ===========================infer_params===========================
 null:null
 null:null
-norm_export: ../../../deepspeech/exps/deepspeech2/bin/export.py --nproc 1 --config conf/deepspeech2.yaml --model_type offline  --checkpoint_path exp/deepspeech_whole/checkpoints/49 --export_path exp/deepspeech_whole/checkpoints/49.jit
+norm_export: ../../../paddlespeech/s2t/exps/deepspeech2/bin/export.py --nproc 1 --config conf/deepspeech2.yaml --model_type offline  --checkpoint_path exp/deepspeech_whole/checkpoints/49 --export_path exp/deepspeech_whole/checkpoints/49.jit
 quant_export:null
 fpgm_export:null
 distill_export:null

tests/chains/speedyspeech/speedyspeech_params_lite_multi_gpu.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --batch_size=32 --max_epoch=20 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../paddlespeech/t2s/exps/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --batch_size=32 --max_epoch=20 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
 null:null
 null:null
 null:null
@@ -21,7 +21,7 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=../../../examples/csmsc/tts2/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_20.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
+eval:../../../paddlespeech/t2s/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=../../../examples/csmsc/tts2/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_20.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
 null:null
 ##
 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
 null:null
 null:null
 null:null
-inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../paddlespeech/t2s/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
 null:null
 null:null
 null:null

tests/chains/speedyspeech/speedyspeech_params_lite_single_gpu.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --batch_size=32 --max_epoch=10 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../paddlespeech/t2s/exps/speedyspeech/train.py --train-metadata=train_data/mini_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/mini_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --batch_size=32 --max_epoch=10 --num_snapshots=10 --output-dir=exp/default --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt --use-relative-path=True
 null:null
 null:null
 null:null
@@ -21,7 +21,7 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=../../../examples/csmsc/tts2/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_30.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
+eval:../../../paddlespeech/t2s/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=../../../examples/csmsc/tts2/conf/default.yaml --speedyspeech-checkpoint=exp/default/checkpoints/snapshot_iter_30.pdz --speedyspeech-stat=train_data/mini_BZNSYP/train/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=train_data/mini_BZNSYP/phone_id_map.txt --tones-dict=train_data/mini_BZNSYP/tone_id_map.txt
 null:null
 ##
 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
 null:null
 null:null
 null:null
-inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../paddlespeech/t2s/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
 --use_gpu:True
 null:null
 null:null

tests/chains/speedyspeech/speedyspeech_params_whole_multi_gpu.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../paddlespeech/t2s/exps/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
 null:null
 null:null
 null:null
@@ -21,7 +21,7 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
+eval:../../../paddlespeech/t2s/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
 null:null
 ##
 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
 null:null
 null:null
 null:null
-inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../paddlespeech/t2s/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
 null:null
 null:null
 null:null

tests/chains/speedyspeech/speedyspeech_params_whole_single_gpu.txt

@@ -13,7 +13,7 @@ null:null
 null:null
 ##
 trainer:norm_train
-norm_train:../../../parakeet/exps/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
+norm_train:../../../paddlespeech/t2s/exps/speedyspeech/train.py --train-metadata=train_data/processed_BZNSYP/train/norm/metadata.jsonl --dev-metadata=train_data/processed_BZNSYP/dev/norm/metadata.jsonl --config=../../../examples/csmsc/tts2/conf/default.yaml --output-dir=exp/whole --phones-dict=train_data/processed_BZNSYP/phone_id_map.txt --tones-dict=train_data/processed_BZNSYP/tone_id_map.txt --use-relative-path=True
 null:null
 null:null
 null:null
@@ -21,7 +21,7 @@ null:null
 null:null
 ##
 ===========================eval_params===========================
-eval:../../../parakeet/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../parakeet/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
+eval:../../../paddlespeech/t2s/exps/speedyspeech/synthesize_e2e.py --speedyspeech-config=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/default.yaml --speedyspeech-checkpoint=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/snapshot_iter_11400.pdz --speedyspeech-stat=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/feats_stats.npy --pwg-config=pretrain_models/pwg_baker_ckpt_0.4/pwg_default.yaml --pwg-checkpoint=pretrain_models/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz --pwg-stat=pretrain_models/pwg_baker_ckpt_0.4/pwg_stats.npy --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=e2e --inference-dir=inference --device="gpu" --phones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_nosil_baker_ckpt_0.5/tone_id_map.txt
 null:null
 ##
 ===========================infer_params===========================
@@ -37,7 +37,7 @@ null:null
 null:null
 null:null
 null:null
-inference:../../../parakeet/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../parakeet/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
+inference:../../../paddlespeech/t2s/exps/speedyspeech/inference.py --inference-dir=pretrain_models/speedyspeech_pwg_inference_0.5 --text=../../../paddlespeech/t2s/exps/sentences.txt --output-dir=inference_out --enable-auto-log --phones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/phone_id_map.txt --tones-dict=pretrain_models/speedyspeech_pwg_inference_0.5/tone_id_map.txt
 null:null
 null:null
 null:null

tests/unit/asr/deepspeech2_model_test.py

@@ -16,7 +16,7 @@ import unittest
 import numpy as np
 import paddle
 
-from deepspeech.models.ds2 import DeepSpeech2Model
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
 
 
 class TestDeepSpeech2Model(unittest.TestCase):

tests/unit/asr/deepspeech2_online_model_test.py

@@ -16,7 +16,7 @@ import unittest
 import numpy as np
 import paddle
 
-from deepspeech.models.ds2_online import DeepSpeech2ModelOnline
+from paddlespeech.s2t.models.ds2_online import DeepSpeech2ModelOnline
 
 
 class TestDeepSpeech2ModelOnline(unittest.TestCase):

tests/unit/asr/error_rate_test.py

@@ -14,7 +14,7 @@
 """Test error rate."""
 import unittest
 
-from deepspeech.utils import error_rate
+from paddlespeech.s2t.utils import error_rate
 
 
 class TestParse(unittest.TestCase):

tests/unit/asr/mask_test.py

@@ -16,8 +16,8 @@ import unittest
 import numpy as np
 import paddle
 
-from deepspeech.modules.mask import make_non_pad_mask
-from deepspeech.modules.mask import make_pad_mask
+from paddlespeech.s2t.modules.mask import make_non_pad_mask
+from paddlespeech.s2t.modules.mask import make_pad_mask
 
 
 class TestU2Model(unittest.TestCase):

tests/unit/asr/u2_model_test.py

@@ -17,8 +17,8 @@ import numpy as np
 import paddle
 from yacs.config import CfgNode as CN
 
-from deepspeech.models.u2 import U2Model
-from deepspeech.utils.layer_tools import summary
+from paddlespeech.s2t.models.u2 import U2Model
+from paddlespeech.s2t.utils.layer_tools import summary
 
 
 class TestU2Model(unittest.TestCase):

tests/unit/tts/test_data_table.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from parakeet.datasets.data_tabel import DataTable
+from paddlespeech.t2s.datasets.data_tabel import DataTable
 
 
 def test_audio_dataset():

tests/unit/tts/test_expansion.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import paddle
 
-from parakeet.modules import expansion
+from paddlespeech.t2s.modules import expansion
 
 
 def test_expand():

tests/unit/tts/test_pwg.py

@@ -18,13 +18,13 @@ from parallel_wavegan.layers import upsample
 from parallel_wavegan.models import parallel_wavegan as pwgan
 from timer import timer
 
-from parakeet.models.parallel_wavegan import ConvInUpsampleNet
-from parakeet.models.parallel_wavegan import PWGDiscriminator
-from parakeet.models.parallel_wavegan import PWGGenerator
-from parakeet.models.parallel_wavegan import ResidualBlock
-from parakeet.models.parallel_wavegan import ResidualPWGDiscriminator
-from parakeet.utils.layer_tools import summary
-from parakeet.utils.profile import synchronize
+from paddlespeech.t2s.models.parallel_wavegan import ConvInUpsampleNet
+from paddlespeech.t2s.models.parallel_wavegan import PWGDiscriminator
+from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
+from paddlespeech.t2s.models.parallel_wavegan import ResidualBlock
+from paddlespeech.t2s.models.parallel_wavegan import ResidualPWGDiscriminator
+from paddlespeech.t2s.utils.layer_tools import summary
+from paddlespeech.t2s.utils.profile import synchronize
 
 paddle.set_device("gpu:0")
 device = torch.device("cuda:0")

tests/unit/tts/test_reporter.py

@@ -13,9 +13,9 @@
 # limitations under the License.
 import numpy as np
 
-from parakeet.training.reporter import report
-from parakeet.training.reporter import scope
-from parakeet.training.reporter import Summary
+from paddlespeech.t2s.training.reporter import report
+from paddlespeech.t2s.training.reporter import scope
+from paddlespeech.t2s.training.reporter import Summary
 
 
 def test_reporter_scope():

tests/unit/tts/test_snapshot.py

@@ -17,9 +17,9 @@ from itertools import count
 from paddle import nn
 from paddle.optimizer import Adam
 
-from parakeet.training.extensions.snapshot import Snapshot
-from parakeet.training.trainer import Trainer
-from parakeet.training.updater import StandardUpdater
+from paddlespeech.t2s.training.extensions.snapshot import Snapshot
+from paddlespeech.t2s.training.trainer import Trainer
+from paddlespeech.t2s.training.updater import StandardUpdater
 
 
 def test_snapshot():

tests/unit/tts/test_stft.py

@@ -18,8 +18,8 @@ import torch
 from parallel_wavegan.losses import stft_loss as sl
 from scipy import signal
 
-from parakeet.modules.stft_loss import MultiResolutionSTFTLoss
-from parakeet.modules.stft_loss import STFT
+from paddlespeech.t2s.modules.stft_loss import MultiResolutionSTFTLoss
+from paddlespeech.t2s.modules.stft_loss import STFT
 
 
 def test_stft():

utils/apply-cmvn.py

@@ -6,11 +6,11 @@ from distutils.util import strtobool
 import kaldiio
 import numpy
 
-from deepspeech.transform.cmvn import CMVN
-from deepspeech.utils.cli_readers import file_reader_helper
-from deepspeech.utils.cli_utils import get_commandline_args
-from deepspeech.utils.cli_utils import is_scipy_wav_style
-from deepspeech.utils.cli_writers import file_writer_helper
+from paddlespeech.s2t.transform.cmvn import CMVN
+from paddlespeech.s2t.utils.cli_readers import file_reader_helper
+from paddlespeech.s2t.utils.cli_utils import get_commandline_args
+from paddlespeech.s2t.utils.cli_utils import is_scipy_wav_style
+from paddlespeech.s2t.utils.cli_writers import file_writer_helper
 
 
 def get_parser():

utils/build_vocab.py

@@ -21,14 +21,14 @@ import os
 import tempfile
 from collections import Counter
 
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.frontend.utility import BLANK
-from deepspeech.frontend.utility import read_manifest
-from deepspeech.frontend.utility import SOS
-from deepspeech.frontend.utility import SPACE
-from deepspeech.frontend.utility import UNK
-from deepspeech.utils.utility import add_arguments
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.frontend.utility import BLANK
+from paddlespeech.s2t.frontend.utility import read_manifest
+from paddlespeech.s2t.frontend.utility import SOS
+from paddlespeech.s2t.frontend.utility import SPACE
+from paddlespeech.s2t.frontend.utility import UNK
+from paddlespeech.s2t.utils.utility import add_arguments
+from paddlespeech.s2t.utils.utility import print_arguments
 
 parser = argparse.ArgumentParser(description=__doc__)
 add_arg = functools.partial(add_arguments, argparser=parser)

utils/compute-cmvn-stats.py

@@ -5,11 +5,11 @@ import logging
 import kaldiio
 import numpy as np
 
-from deepspeech.transform.transformation import Transformation
-from deepspeech.utils.cli_readers import file_reader_helper
-from deepspeech.utils.cli_utils import get_commandline_args
-from deepspeech.utils.cli_utils import is_scipy_wav_style
-from deepspeech.utils.cli_writers import file_writer_helper
+from paddlespeech.s2t.transform.transformation import Transformation
+from paddlespeech.s2t.utils.cli_readers import file_reader_helper
+from paddlespeech.s2t.utils.cli_utils import get_commandline_args
+from paddlespeech.s2t.utils.cli_utils import is_scipy_wav_style
+from paddlespeech.s2t.utils.cli_writers import file_writer_helper
 
 
 def get_parser():

utils/compute_mean_std.py

@@ -16,11 +16,11 @@
 import argparse
 import functools
 
-from deepspeech.frontend.augmentor.augmentation import AugmentationPipeline
-from deepspeech.frontend.featurizer.audio_featurizer import AudioFeaturizer
-from deepspeech.frontend.normalizer import FeatureNormalizer
-from deepspeech.utils.utility import add_arguments
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.frontend.augmentor.augmentation import AugmentationPipeline
+from paddlespeech.s2t.frontend.featurizer.audio_featurizer import AudioFeaturizer
+from paddlespeech.s2t.frontend.normalizer import FeatureNormalizer
+from paddlespeech.s2t.utils.utility import add_arguments
+from paddlespeech.s2t.utils.utility import print_arguments
 
 parser = argparse.ArgumentParser(description=__doc__)
 add_arg = functools.partial(add_arguments, argparser=parser)

utils/compute_statistics.py

@@ -21,7 +21,7 @@ import numpy as np
 from sklearn.preprocessing import StandardScaler
 from tqdm import tqdm
 
-from parakeet.datasets.data_table import DataTable
+from paddlespeech.t2s.datasets.data_table import DataTable
 
 
 def main():

utils/copy-feats.py

@@ -3,11 +3,11 @@ import argparse
 import logging
 from distutils.util import strtobool
 
-from deepspeech.transform.transformation import Transformation
-from deepspeech.utils.cli_readers import file_reader_helper
-from deepspeech.utils.cli_utils import get_commandline_args
-from deepspeech.utils.cli_utils import is_scipy_wav_style
-from deepspeech.utils.cli_writers import file_writer_helper
+from paddlespeech.s2t.transform.transformation import Transformation
+from paddlespeech.s2t.utils.cli_readers import file_reader_helper
+from paddlespeech.s2t.utils.cli_utils import get_commandline_args
+from paddlespeech.s2t.utils.cli_utils import is_scipy_wav_style
+from paddlespeech.s2t.utils.cli_writers import file_writer_helper
 
 
 def get_parser():

utils/dump_manifest.py

@@ -17,7 +17,7 @@ import argparse
 from pathlib import Path
 from typing import Union
 
-from deepspeech.frontend.utility import read_manifest
+from paddlespeech.s2t.frontend.utility import read_manifest
 
 key_whitelist = set(['feat', 'text', 'syllable', 'phone'])
 filename = {

utils/feat-to-shape.py

@@ -3,10 +3,10 @@ import argparse
 import logging
 import sys
 
-from deepspeech.transform.transformation import Transformation
-from deepspeech.utils.cli_readers import file_reader_helper
-from deepspeech.utils.cli_utils import get_commandline_args
-from deepspeech.utils.cli_utils import is_scipy_wav_style
+from paddlespeech.s2t.transform.transformation import Transformation
+from paddlespeech.s2t.utils.cli_readers import file_reader_helper
+from paddlespeech.s2t.utils.cli_utils import get_commandline_args
+from paddlespeech.s2t.utils.cli_utils import is_scipy_wav_style
 
 
 def get_parser():

utils/format_data.py

@@ -17,11 +17,11 @@ import argparse
 import functools
 import json
 
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.frontend.utility import load_cmvn
-from deepspeech.frontend.utility import read_manifest
-from deepspeech.utils.utility import add_arguments
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.frontend.utility import load_cmvn
+from paddlespeech.s2t.frontend.utility import read_manifest
+from paddlespeech.s2t.utils.utility import add_arguments
+from paddlespeech.s2t.utils.utility import print_arguments
 
 parser = argparse.ArgumentParser(description=__doc__)
 add_arg = functools.partial(add_arguments, argparser=parser)

utils/format_triplet_data.py

@@ -17,11 +17,11 @@ import argparse
 import functools
 import json
 
-from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
-from deepspeech.frontend.utility import load_cmvn
-from deepspeech.frontend.utility import read_manifest
-from deepspeech.utils.utility import add_arguments
-from deepspeech.utils.utility import print_arguments
+from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
+from paddlespeech.s2t.frontend.utility import load_cmvn
+from paddlespeech.s2t.frontend.utility import read_manifest
+from paddlespeech.s2t.utils.utility import add_arguments
+from paddlespeech.s2t.utils.utility import print_arguments
 
 parser = argparse.ArgumentParser(description=__doc__)
 add_arg = functools.partial(add_arguments, argparser=parser)

utils/merge_scp2json.py

@@ -8,7 +8,7 @@ import sys
 from distutils.util import strtobool
 from io import open
 
-from deepspeech.utils.cli_utils import get_commandline_args
+from paddlespeech.s2t.utils.cli_utils import get_commandline_args
 
 PY2 = sys.version_info[0] == 2
 sys.stdin = codecs.getreader("utf-8")(sys.stdin if PY2 else sys.stdin.buffer)