* added reverb/noisify/AudioReader/RandomChoice/RandomApply

* bug fixed

* transform name changes

* work around for bug in paddle's groupnorm

* upgraded to use float64 inside for high numerical acc

* fixed docstring, add nn.Layer as super for Noisify

* fixed docstring

* added mfcc func/trans and dct function

* updated unit test

* add dtype to control datatype in win function

* add dtype control in transforms

* add dtype control in functionals

* updated test

* added dtype control, updated test

* added sound classication

* added liscense, clean code, add pre-commit

* update req

* moved to PaddlePaddle-models

* code re-structure

* update README.md

* update README.md

* Update README.md

* add audioset training

* default resample mode to kaiser_fast

* delete some comments

* precommit check

* sha->rev

* add config.ymal

* remove SoundClassification from paddlespeech, since it's in PaddleAudio now

* add labels

* remove old labels

* update code

* empty

* #5300

* add evaluate, etc

* remove trace|

* import evaluate

* path update

* precommit check

* recover slowfast

* restore README.md to paddle:develop

* refactor

* update readme

* update README.md

* refactor

* refactor

* refactor

* refactor

* precommit fixed

* update README.md

* Update README.md

* Update README.md

* Update train.py

changed prefixed, removed some comments

* add wav file for testing

* bug fixed eval,new checkpoint map=0.416

* Update README.md

* added dcase task1b example

* update README.md

* code fixed for last review

* fixed level string formating

* fixed according to PR reviews

* added wav2vec2.0

* restore datatsets

* add liscense, remove scipy, move test_audio to cloud

* remove 3rd-party dependency:pathos

* add testing for wav2vec2

* update README.md

* updated README.md, added librispeech results

* Revert "updated README.md, added librispeech results"

This reverts commit da4012958e8e0bf2d7f4b608f74518583dd7d73b.

* code fixed from reviews

* add librispeech test

* remove pathos imports

* updated README.md

* update README.md

* minor-fix according to code reviews

* updated README_LP.MD

* fixed according to code review

* fixed according to code review

* added preprocessing example

* removed dcase2021_task1b from examples

* remove preprocessing from examples

* added amsoftmax to losses

* added eer/min_dcf to metrics

* updated __init__.py

* add stft,spectrogram, melspectrogram, log-melspectrogram

* add _internal, transoform, functional to imports

* add new module: functional

* add new module: window.py to _internel/

* add correspoding new unit-test for the new modules

* added ISTFT

* clean code and docstring, clean unit test

* clean code and docstring

* functional

* added back preprocessing

* add README.md

* remove preprocessing for now

* clean code, add doc

* change _internal to signal

* add new transoforms

* add new functionals

* add eps to amsoftmax, return the prediction

* add ffmpeg backend

* remove dithering in depth-convert, add ffmpeg to backend

* add Mudecode/enccode/RandomCodec

* changed variable name, fixed bug

* use namedtuple for returning

* refactor utils

* refactor

* add melspectrogram/spectrogram, add doc string

* add doc string, clean code

* rename window to windowing

* updated docstring, minor bug fixed

* move losses.py to future examples

* remove mu_encode/decode

* refactor

* move metrics to future examples

* remove features/

* naming changes for mu law algorithms

* update test, add testing utils

* fixed import

* fixed import

* fixed duplicate output in logging

* add code examples, shape info, etc

* add doc for public functions

* make backend controllable

* fixed coding stype in docstring

* export parameters for power_to_db LogMel transform

* default to_db to False to be consistent with functional

* fixed typo in docstring

* added sound classication

* added liscense, clean code, add pre-commit

* update req

* moved to PaddlePaddle-models

* code re-structure

* update README.md

* update README.md

* Update README.md

* add audioset training

* default resample mode to kaiser_fast

* delete some comments

* precommit check

* sha->rev

* add config.ymal

* remove SoundClassification from paddlespeech, since it's in PaddleAudio now

* add labels

* remove old labels

* update code

* empty

* #5300

* add evaluate, etc

* remove trace|

* import evaluate

* path update

* precommit check

* recover slowfast

* restore README.md to paddle:develop

* refactor

* update readme

* update README.md

* refactor

* refactor

* refactor

* refactor

* precommit fixed

* update README.md

* Update README.md

* Update README.md

* Update train.py

changed prefixed, removed some comments

* add wav file for testing

* bug fixed eval,new checkpoint map=0.416

* Update README.md

* added dcase task1b example

* update README.md

* code fixed for last review

* fixed level string formating

* fixed according to PR reviews

* added wav2vec2.0

* restore datatsets

* add liscense, remove scipy, move test_audio to cloud

* remove 3rd-party dependency:pathos

* add testing for wav2vec2

* update README.md

* updated README.md, added librispeech results

* Revert "updated README.md, added librispeech results"

This reverts commit da4012958e8e0bf2d7f4b608f74518583dd7d73b.

* code fixed from reviews

* add librispeech test

* remove pathos imports

* updated README.md

* update README.md

* minor-fix according to code reviews

* updated README_LP.MD

* fixed according to code review

* fixed according to code review

* added preprocessing example

* removed dcase2021_task1b from examples

* remove preprocessing from examples

* added amsoftmax to losses

* added eer/min_dcf to metrics

* updated __init__.py

* add stft,spectrogram, melspectrogram, log-melspectrogram

* add _internal, transoform, functional to imports

* add new module: functional

* add new module: window.py to _internel/

* add correspoding new unit-test for the new modules

* added ISTFT

* clean code and docstring, clean unit test

* clean code and docstring

* functional

* added back preprocessing

* add README.md

* remove preprocessing for now

* clean code, add doc

* change _internal to signal

* add new transoforms

* add new functionals

* add eps to amsoftmax, return the prediction

* add ffmpeg backend

* remove dithering in depth-convert, add ffmpeg to backend

* add Mudecode/enccode/RandomCodec

* changed variable name, fixed bug

* use namedtuple for returning

* refactor utils

* refactor

* add melspectrogram/spectrogram, add doc string

* add doc string, clean code

* rename window to windowing

* updated docstring, minor bug fixed

* move losses.py to future examples

* remove mu_encode/decode

* refactor

* move metrics to future examples

* remove features/

* naming changes for mu law algorithms

* update test, add testing utils

* fixed import

* fixed import

* fixed duplicate output in logging

* add code examples, shape info, etc

* add doc for public functions

* make backend controllable

* fixed coding stype in docstring

* added sound classication

* added liscense, clean code, add pre-commit

* update req

* moved to PaddlePaddle-models

* code re-structure

* update README.md

* update README.md

* Update README.md

* add audioset training

* default resample mode to kaiser_fast

* delete some comments

* precommit check

* sha->rev

* add config.ymal

* remove SoundClassification from paddlespeech, since it's in PaddleAudio now

* add labels

* remove old labels

* update code

* empty

* #5300

* add evaluate, etc

* remove trace|

* import evaluate

* path update

* precommit check

* recover slowfast

* restore README.md to paddle:develop

* refactor

* update readme

* update README.md

* refactor

* refactor

* refactor

* refactor

* precommit fixed

* update README.md

* Update README.md

* Update README.md

* Update train.py

changed prefixed, removed some comments

* add wav file for testing

* bug fixed eval,new checkpoint map=0.416

* Update README.md

* added dcase task1b example

* update README.md

* code fixed for last review

* fixed level string formating

* fixed according to PR reviews

* added wav2vec2.0

* restore datatsets

* add liscense, remove scipy, move test_audio to cloud

* remove 3rd-party dependency:pathos

* add testing for wav2vec2

* update README.md

* updated README.md, added librispeech results

* Revert "updated README.md, added librispeech results"

This reverts commit da4012958e8e0bf2d7f4b608f74518583dd7d73b.

* code fixed from reviews

* add librispeech test

* remove pathos imports

* updated README.md

* update README.md

* minor-fix according to code reviews

* updated README_LP.MD

* fixed according to code review

* fixed according to code review

* added preprocessing example

* removed dcase2021_task1b from examples

* remove preprocessing from examples

* added amsoftmax to losses

* added eer/min_dcf to metrics

* updated __init__.py

* add stft,spectrogram, melspectrogram, log-melspectrogram

* add _internal, transoform, functional to imports

* add new module: functional

* add new module: window.py to _internel/

* add correspoding new unit-test for the new modules

* added ISTFT

* clean code and docstring, clean unit test

* clean code and docstring

* functional

* added back preprocessing

* add README.md

* remove preprocessing for now

* clean code, add doc

* change _internal to signal

* add new transoforms

* add new functionals

* add eps to amsoftmax, return the prediction

* add ffmpeg backend

* remove dithering in depth-convert, add ffmpeg to backend

* add Mudecode/enccode/RandomCodec

* changed variable name, fixed bug

* use namedtuple for returning

* refactor utils

* refactor

* add melspectrogram/spectrogram, add doc string

* add doc string, clean code

* rename window to windowing

* updated docstring, minor bug fixed

* move losses.py to future examples

* remove mu_encode/decode

* refactor

* move metrics to future examples

* remove features/

* naming changes for mu law algorithms

* update test, add testing utils

* fixed import

* added sound classication

* added liscense, clean code, add pre-commit

* update req

* moved to PaddlePaddle-models

* code re-structure

* update README.md

* update README.md

* Update README.md

* add audioset training

* default resample mode to kaiser_fast

* delete some comments

* precommit check

* sha->rev

* add config.ymal

* remove SoundClassification from paddlespeech, since it's in PaddleAudio now

* add labels

* remove old labels

* update code

* empty

* #5300

* add evaluate, etc

* remove trace|

* import evaluate

* path update

* precommit check

* recover slowfast

* restore README.md to paddle:develop

* refactor

* update readme

* update README.md

* refactor

* refactor

* refactor

* refactor

* precommit fixed

* update README.md

* Update README.md

* Update README.md

* Update train.py

changed prefixed, removed some comments

* add wav file for testing

* bug fixed eval,new checkpoint map=0.416

* Update README.md
Co-authored-by: Nranchlai <=ranchlai@163.com>

* Add M3d-RPN model.
Co-authored-by: Nyexiaoqing <yexiaoqing@baidu.com>

* Update README.md (#4267)

* test=develop (#4269)

* 3d use new api (#4275)

* PointNet++ and PointRCNN use new API

* Update Readme of Dygraph BERT (#4277)

Fix some typos.

* Update run_classifier_multi_gpu.sh (#4279)

remove the CUDA_VISIBLE_DEVICES

* Update README.md (#4280)

* 17 update api (#4294)

* update1.7 save/load & fluid.data

* update datafeed to dataloader

* Update resnet_acnet.py (#4297)

Bias attr of square conv should be "False" rather than None during training mode.

* test=develop

* test=develop

* test=develop

* test=develop

* test
Co-authored-by: NKaipeng Deng <dengkaipeng@baidu.com>
Co-authored-by: Nzhang wenhui <frankwhzhang@126.com>
Co-authored-by: Nparap1uie-s <parap1uie-s@users.noreply.github.com>

* add new seq2seq example: rnn_search (#3574)

* re-commit seq2eq example: rnn search

* add new_seq2seq examples: rnn_search and vae_text

* modify dataset description in vae_text/README.md

* modify vae_text/README.md and vae_text/download.py

* update vae_text/infer.sh and vae_text/README.md

* add multi-gpu support for rnn_search; fix windows support for rnn_search and vae_text

* remove parallel argument in args.py

* remove hard codes

* remove hard codes

* update download.py for windows download

* fix model path for windows in vae_text/infer.py

* fix python2 utf-encoding

* fix utf-8 error in python2 when predict (#3721)

* change rnn_search to seq2seq; change vae_text to variational seq2seq (#3734)

* re-commit seq2eq example: rnn search

* add new_seq2seq examples: rnn_search and vae_text

* modify dataset description in vae_text/README.md

* modify vae_text/README.md and vae_text/download.py

* update vae_text/infer.sh and vae_text/README.md

* add multi-gpu support for rnn_search; fix windows support for rnn_search and vae_text

* remove parallel argument in args.py

* remove hard codes

* remove hard codes

* update download.py for windows download

* fix model path for windows in vae_text/infer.py

* fix python2 utf-encoding

* change rnn_search to seq2seq; change vae_text to variational seq2seq

* change rnn_search to seq2seq; change vae_text to variational seq2seq

* mv variational seq2seq to variational_seq2seq

* remove old projects (#3736)

* fix use_gpu=False error (#3775)

* update_seq2seq_readme (#3783)

* Update README.md

* add ACL2019-DuConv

* init paddle-nlp tools for QA test

* Fix paragraph extraction bug

* Update download links

* first update LAC README.md

* rename EmoTect as emotion_detection

* download data from bos

* Update README.md

* Rename project

* second add code

* modify downloads.sh for lac

* rename LAC to lexical_analysis

* update lac readme

* Update README.md

* Update README.md

* Update README.md

* add struct.jpg

* Update README.md

* Update README.md

* update README

* Update README.md

* update emotion_detection README

* add download_data.sh and download_model.sh

* first commit ADE

* dialogue_model_toolkit_update

* update emotion_detection model bos url

* update README

* update readme

* update readme

* update download file

* first commit DAM

* add readme

* fix readme

* fix readme

* fix readme

* fix readme

* fix readme

* rename

* rename again

* 1. add gradient_clip for ernie_lac
2. delete LARK config

* fix download.sh

* Rename MRC task

* fix logger

* fix to douban

* fix final

* update readme

* update readme

* update readme

* fix batch is null

* fix typo

* fix typo

* fix typo

* update ernie config

* update readme

* add AI platform url in readme

* update readme subtitlestyle

* update

* Update README.md

* Update README.md

* update

* Create README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* update batch size

* adapt to samll data size

* update ERNIE bcebos url

* add language model

* modify readme

* update

* update

* Update README.md

* Update README.md

* fix readme

* fix max_step, update run.sh and run_ernie.sh

* add finetuned model for lac

* fix bug

* Update README.md

* update

* Update README.md

* add ERNIE pretrained model, and update README

* update readme

* add CPU

* update infer in run.sh and run_ernie.sh

* Update README.md

* Update README.md

* Delete test.py

* fix bug

* fix run.sh infer bug & add ernie infer code

* fix cpu mode

* Update README.md

* fix bug for python3

* fix CPU and GPU diff result bug

* Update README.md

* update readme

* Update run_classifier.py

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update run.sh

* Update run_ernie.sh

* modify dir

* Update README.md

* modify dir too

* modify path

* Update README.md

* PaddleNLP modules backup to old/, rm links-LAC,Senta,SimNet

* mv all modules out of paddle-nlp, rm Senta, auto_dialog_eval, deep_match

* mv models/classify to models/classification, models/seq_lab to models/sequence_labeling

* update readme for models/classification

* update sentiment_classification and rm README

* Add Transformer into paddle-nlp

* change seq_lab to sequence labeling

* Rename old as unarchived in PaddleNLP

* add LARK

* Update README, add paddlehub

* add paddlehub

* Add tmp readme

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update run_ernie.sh

* Update run_ernie.sh

* Update README.md

* Update run_ernie_classifier.py

* Update README.md

* Update README.md

* Update run.sh

* Update run_ernie_classifier.py

* update

* fix chunk_evaluator bug

* change names

* Update README

* add gitmodules

* add install code

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update READMEs

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* README

* Update README.md

* update emotion_detection README

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* update REAME, add finetune doc

* update emotion_detection readme

* change run.sh

* Update README.md

* Update the link in fluid dir

* update readme

* update README for markdown style

* Update README.md

* Update README.md

* Shift up fluid models

* Update nlp submodules

* Add redirect guide in org readme

* Move HiNAS_models to AutoDL

* Delete file
* Rever the raw file

* Adjust the structure of whole repo

* Correct the readme for speec

* Update submodules LAC, Senta and SimNet