[tts]add style melgan pretraied model (#1228)

* add style melgan pretraied model

* add style melgan pretraied model, test=tts
Co-authored-by: NHui Zhang <zhtclz@foxmail.com>

docs/source/released_model.md

@@ -49,7 +49,8 @@ Parallel WaveGAN| CSMSC |[PWGAN-csmsc](https://github.com/PaddlePaddle/PaddleSpe
 Parallel WaveGAN| LJSpeech |[PWGAN-ljspeech](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/ljspeech/voc1)|[pwg_ljspeech_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_ljspeech_ckpt_0.5.zip)|||
 Parallel WaveGAN|AISHELL-3 |[PWGAN-aishell3](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell3/voc1)|[pwg_aishell3_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_aishell3_ckpt_0.5.zip)|||
 Parallel WaveGAN| VCTK |[PWGAN-vctk](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/vctk/voc1)|[pwg_vctk_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_vctk_ckpt_0.5.zip)|||
-|Multi Band MelGAN |CSMSC|[MB MelGAN-csmsc](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/csmsc/voc3) | [mb_melgan_baker_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_baker_ckpt_0.5.zip) <br>[mb_melgan_baker_finetune_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_baker_finetune_ckpt_0.5.zip)|[mb_melgan_baker_static_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_baker_static_0.5.zip) |8.2MB|
+|Multi Band MelGAN | CSMSC |[MB MelGAN-csmsc](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/csmsc/voc3) | [mb_melgan_baker_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_baker_ckpt_0.5.zip) <br>[mb_melgan_baker_finetune_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_baker_finetune_ckpt_0.5.zip)|[mb_melgan_baker_static_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_baker_static_0.5.zip) |8.2MB|
+Style MelGAN | CSMSC |[Style MelGAN-csmsc](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/csmsc/voc4)|[style_melgan_csmsc_ckpt_0.1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/style_melgan/style_melgan_csmsc_ckpt_0.1.1.zip)| | |
 HiFiGAN | CSMSC |[HiFiGAN-csmsc](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/csmsc/voc5)|[hifigan_csmsc_ckpt_0.1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_csmsc_ckpt_0.1.1.zip)|[hifigan_csmsc_static_0.1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_csmsc_static_0.1.1.zip)|50MB|
 
 ### Voice Cloning

examples/aishell3/tts3/README.md

@@ -72,8 +72,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--phones-dict PHONES_DICT]
-                [--speaker-dict SPEAKER_DICT]
+                [--ngpu NGPU] [--phones-dict PHONES_DICT]
+                [--speaker-dict SPEAKER_DICT] [--voice-cloning VOICE_CLONING]
 
 Train a FastSpeech2 model.
 
@@ -87,11 +87,12 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu=0, use cpu.
-  --verbose VERBOSE     verbose.
   --phones-dict PHONES_DICT
                         phone vocabulary file.
   --speaker-dict SPEAKER_DICT
                         speaker id map file for multiple speaker model.
+  --voice-cloning VOICE_CLONING
+                        whether training voice cloning model.
 ```
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
 2. `--train-metadata` and `--dev-metadata` should be the metadata file in the normalized subfolder of `train` and `dev` in the `dump` folder.

examples/aishell3/voc1/README.md

@@ -67,8 +67,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--batch-size BATCH_SIZE]
-                [--max-iter MAX_ITER] [--run-benchmark RUN_BENCHMARK]
+                [--ngpu NGPU] [--batch-size BATCH_SIZE] [--max-iter MAX_ITER]
+                [--run-benchmark RUN_BENCHMARK]
                 [--profiler_options PROFILER_OPTIONS]
 
 Train a ParallelWaveGAN model.
@@ -83,7 +83,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 
 benchmark:
   arguments related to benchmark.
@@ -113,7 +112,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -130,7 +128,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` parallel wavegan config file. You should use the same config with which the model is trained.

examples/csmsc/tts2/README.md

@@ -60,8 +60,7 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE]
-                [--use-relative-path USE_RELATIVE_PATH]
+                [--ngpu NGPU] [--use-relative-path USE_RELATIVE_PATH]
                 [--phones-dict PHONES_DICT] [--tones-dict TONES_DICT]
 
 Train a Speedyspeech model with a single speaker dataset.
@@ -76,7 +75,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
   --use-relative-path USE_RELATIVE_PATH
                         whether use relative path in metadata
   --phones-dict PHONES_DICT

examples/csmsc/tts2/local/synthesize_e2e.sh

@@ -61,9 +61,9 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
         --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
         --am_stat=dump/train/feats_stats.npy \
         --voc=style_melgan_csmsc \
-        --voc_config=pwg_baker_ckpt_0.4/pwg_default.yaml \
-        --voc_ckpt=pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz \
-        --voc_stat=pwg_baker_ckpt_0.4/pwg_stats.npy \
+        --voc_config=style_melgan_csmsc_ckpt_0.1.1/default.yaml \
+        --voc_ckpt=style_melgan_csmsc_ckpt_0.1.1/snapshot_iter_1500000.pdz \
+        --voc_stat=style_melgan_csmsc_ckpt_0.1.1/feats_stats.npy \
         --lang=zh \
         --text=${BIN_DIR}/../sentences.txt \
         --output_dir=${train_output_path}/test_e2e \

examples/csmsc/tts3/README.md

@@ -63,8 +63,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--phones-dict PHONES_DICT]
-                [--speaker-dict SPEAKER_DICT]
+                [--ngpu NGPU] [--phones-dict PHONES_DICT]
+                [--speaker-dict SPEAKER_DICT] [--voice-cloning VOICE_CLONING]
 
 Train a FastSpeech2 model.
 
@@ -78,11 +78,12 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu=0, use cpu.
-  --verbose VERBOSE     verbose.
   --phones-dict PHONES_DICT
                         phone vocabulary file.
   --speaker-dict SPEAKER_DICT
                         speaker id map file for multiple speaker model.
+  --voice-cloning VOICE_CLONING
+                        whether training voice cloning model.
 ```
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
 2. `--train-metadata` and `--dev-metadata` should be the metadata file in the normalized subfolder of `train` and `dev` in the `dump` folder.

examples/csmsc/tts3/local/synthesize_e2e.sh

@@ -59,9 +59,9 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
         --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
         --am_stat=dump/train/speech_stats.npy \
         --voc=style_melgan_csmsc \
-        --voc_config=style_melgan_test/default.yaml \
-        --voc_ckpt=style_melgan_test/snapshot_iter_935000.pdz \
-        --voc_stat=style_melgan_test/feats_stats.npy \
+        --voc_config=style_melgan_csmsc_ckpt_0.1.1/default.yaml \
+        --voc_ckpt=style_melgan_csmsc_ckpt_0.1.1/snapshot_iter_1500000.pdz \
+        --voc_stat=style_melgan_csmsc_ckpt_0.1.1/feats_stats.npy \
         --lang=zh \
         --text=${BIN_DIR}/../sentences.txt \
         --output_dir=${train_output_path}/test_e2e \

examples/csmsc/voc1/README.md

@@ -57,8 +57,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--batch-size BATCH_SIZE]
-                [--max-iter MAX_ITER] [--run-benchmark RUN_BENCHMARK]
+                [--ngpu NGPU] [--batch-size BATCH_SIZE] [--max-iter MAX_ITER]
+                [--run-benchmark RUN_BENCHMARK]
                 [--profiler_options PROFILER_OPTIONS]
 
 Train a ParallelWaveGAN model.
@@ -73,7 +73,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 
 benchmark:
   arguments related to benchmark.
@@ -103,7 +102,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -120,7 +118,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` parallel wavegan config file. You should use the same config with which the model is trained.

examples/csmsc/voc3/README.md

@@ -57,7 +57,7 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE]
+                [--ngpu NGPU]
 
 Train a Multi-Band MelGAN model.
 
@@ -71,7 +71,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
@@ -88,7 +87,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -105,7 +103,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` multi band melgan config file. You should use the same config with which the model is trained.

examples/csmsc/voc4/README.md

@@ -57,9 +57,9 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE]
+                [--ngpu NGPU]
 
-Train a Multi-Band MelGAN model.
+Train a Style MelGAN model.
 
 optional arguments:
   -h, --help            show this help message and exit
@@ -71,7 +71,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
@@ -88,7 +87,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -105,7 +103,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` style melgan config file. You should use the same config with which the model is trained.
@@ -113,3 +110,20 @@ optional arguments:
 3. `--test-metadata` is the metadata of the test dataset. Use the `metadata.jsonl` in the `dev/norm` subfolder from the processed directory.
 4. `--output-dir` is the directory to save the synthesized audio files.
 5. `--ngpu` is the number of gpus to use, if ngpu == 0, use cpu.
+
+## Pretrained Models
+The pretrained model can be downloaded here [style_melgan_csmsc_ckpt_0.1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/style_melgan/style_melgan_csmsc_ckpt_0.1.1.zip).
+
+The static model of Style MelGAN is not available now.
+
+Style MelGAN checkpoint contains files listed below.
+
+```text
+hifigan_csmsc_ckpt_0.1.1
+├── default.yaml                    # default config used to train style melgan
+├── feats_stats.npy                  # statistics used to normalize spectrogram when training style melgan 
+└── snapshot_iter_1500000.pdz     # generator parameters of style melgan
+```
+
+## Acknowledgement
+We adapted some code from https://github.com/kan-bayashi/ParallelWaveGAN.

examples/csmsc/voc5/README.md

@@ -57,7 +57,7 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE]
+                [--ngpu NGPU]
 
 Train a HiFiGAN model.
 
@@ -71,7 +71,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
@@ -88,7 +87,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -105,7 +103,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` config file. You should use the same config with which the model is trained.
@@ -128,8 +125,8 @@ HiFiGAN checkpoint contains files listed below.
 ```text
 hifigan_csmsc_ckpt_0.1.1
 ├── default.yaml                  # default config used to train hifigan
-├── feats_stats.npy                  # generator parameters of hifigan
-└── snapshot_iter_2500000.pdz     # statistics used to normalize spectrogram when training hifigan
+├── feats_stats.npy                  # statistics used to normalize spectrogram when training hifigan
+└── snapshot_iter_2500000.pdz     # generator parameters of hifigan
 ```
 
 ## Acknowledgement

examples/ljspeech/tts1/README.md

@@ -55,7 +55,7 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--phones-dict PHONES_DICT]
+                [--ngpu NGPU] [--phones-dict PHONES_DICT]
 
 Train a TransformerTTS model with LJSpeech TTS dataset.
 
@@ -69,7 +69,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
   --phones-dict PHONES_DICT
                         phone vocabulary file.
 ```
@@ -103,7 +102,7 @@ usage: synthesize.py [-h] [--transformer-tts-config TRANSFORMER_TTS_CONFIG]
                      [--waveflow-checkpoint WAVEFLOW_CHECKPOINT]
                      [--phones-dict PHONES_DICT]
                      [--test-metadata TEST_METADATA] [--output-dir OUTPUT_DIR]
-                     [--ngpu NGPU] [--verbose VERBOSE]
+                     [--ngpu NGPU]
 
 Synthesize with transformer tts & waveflow.
 
@@ -127,7 +126,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 `./local/synthesize_e2e.sh` calls `${BIN_DIR}/synthesize_e2e.py`, which can synthesize waveform from text file.
 ```bash
@@ -142,7 +140,6 @@ usage: synthesize_e2e.py [-h]
                          [--waveflow-checkpoint WAVEFLOW_CHECKPOINT]
                          [--phones-dict PHONES_DICT] [--text TEXT]
                          [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                         [--verbose VERBOSE]
 
 Synthesize with transformer tts & waveflow.
 
@@ -165,7 +162,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 1. `--transformer-tts-config`, `--transformer-tts-checkpoint`, `--transformer-tts-stat` and `--phones-dict` are arguments for transformer_tts, which correspond to the 4 files in the transformer_tts pretrained model.
 2. `--waveflow-config`, `--waveflow-checkpoint` are arguments for waveflow, which correspond to the 2 files in the waveflow pretrained model.

examples/ljspeech/tts3/README.md

@@ -62,8 +62,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--phones-dict PHONES_DICT]
-                [--speaker-dict SPEAKER_DICT]
+                [--ngpu NGPU] [--phones-dict PHONES_DICT]
+                [--speaker-dict SPEAKER_DICT] [--voice-cloning VOICE_CLONING]
 
 Train a FastSpeech2 model.
 
@@ -77,11 +77,12 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu=0, use cpu.
-  --verbose VERBOSE     verbose.
   --phones-dict PHONES_DICT
                         phone vocabulary file.
   --speaker-dict SPEAKER_DICT
                         speaker id map file for multiple speaker model.
+  --voice-cloning VOICE_CLONING
+                        whether training voice cloning model.
 ```
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
 2. `--train-metadata` and `--dev-metadata` should be the metadata file in the normalized subfolder of `train` and `dev` in the `dump` folder.

examples/ljspeech/voc1/README.md

@@ -57,8 +57,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--batch-size BATCH_SIZE]
-                [--max-iter MAX_ITER] [--run-benchmark RUN_BENCHMARK]
+                [--ngpu NGPU] [--batch-size BATCH_SIZE] [--max-iter MAX_ITER]
+                [--run-benchmark RUN_BENCHMARK]
                 [--profiler_options PROFILER_OPTIONS]
 
 Train a ParallelWaveGAN model.
@@ -73,7 +73,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 
 benchmark:
   arguments related to benchmark.
@@ -103,7 +102,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -120,7 +118,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` parallel wavegan config file. You should use the same config with which the model is trained.

examples/vctk/tts3/README.md

@@ -65,8 +65,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--phones-dict PHONES_DICT]
-                [--speaker-dict SPEAKER_DICT]
+                [--ngpu NGPU] [--phones-dict PHONES_DICT]
+                [--speaker-dict SPEAKER_DICT] [--voice-cloning VOICE_CLONING]
 
 Train a FastSpeech2 model.
 
@@ -80,11 +80,12 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu=0, use cpu.
-  --verbose VERBOSE     verbose.
   --phones-dict PHONES_DICT
                         phone vocabulary file.
   --speaker-dict SPEAKER_DICT
                         speaker id map file for multiple speaker model.
+  --voice-cloning VOICE_CLONING
+                        whether training voice cloning model.
 ```
 1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`.
 2. `--train-metadata` and `--dev-metadata` should be the metadata file in the normalized subfolder of `train` and `dev` in the `dump` folder.

examples/vctk/voc1/README.md

@@ -62,8 +62,8 @@ Here's the complete help message.
 ```text
 usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA]
                 [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR]
-                [--ngpu NGPU] [--verbose VERBOSE] [--batch-size BATCH_SIZE]
-                [--max-iter MAX_ITER] [--run-benchmark RUN_BENCHMARK]
+                [--ngpu NGPU] [--batch-size BATCH_SIZE] [--max-iter MAX_ITER]
+                [--run-benchmark RUN_BENCHMARK]
                 [--profiler_options PROFILER_OPTIONS]
 
 Train a ParallelWaveGAN model.
@@ -78,7 +78,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 
 benchmark:
   arguments related to benchmark.
@@ -108,7 +107,6 @@ CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_p
 usage: synthesize.py [-h] [--generator-type GENERATOR_TYPE] [--config CONFIG]
                      [--checkpoint CHECKPOINT] [--test-metadata TEST_METADATA]
                      [--output-dir OUTPUT_DIR] [--ngpu NGPU]
-                     [--verbose VERBOSE]
 
 Synthesize with GANVocoder.
 
@@ -125,7 +123,6 @@ optional arguments:
   --output-dir OUTPUT_DIR
                         output dir.
   --ngpu NGPU           if ngpu == 0, use cpu.
-  --verbose VERBOSE     verbose.
 ```
 
 1. `--config` parallel wavegan config file. You should use the same config with which the model is trained.

paddlespeech/t2s/exps/gan_vocoder/style_melgan/train.py

@@ -223,8 +223,7 @@ def train_sp(args, config):
 def main():
     # parse args and config and redirect to train_sp
 
-    parser = argparse.ArgumentParser(
-        description="Train a Multi-Band MelGAN model.")
+    parser = argparse.ArgumentParser(description="Train a Style MelGAN model.")
     parser.add_argument(
         "--config", type=str, help="config file to overwrite default config.")
     parser.add_argument("--train-metadata", type=str, help="training data.")

paddlespeech/t2s/exps/speedyspeech/train.py

@@ -168,7 +168,6 @@ def main():
     parser.add_argument("--output-dir", type=str, help="output dir.")
     parser.add_argument(
         "--ngpu", type=int, default=1, help="if ngpu == 0, use cpu.")
-    parser.add_argument("--verbose", type=int, default=1, help="verbose.")
 
     def str2bool(str):
         return True if str.lower() == 'true' else False

paddlespeech/t2s/models/melgan/style_melgan.py

@@ -188,7 +188,8 @@ class StyleMelGANGenerator(nn.Layer):
             try:
                 if layer:
                     nn.utils.remove_weight_norm(layer)
-            except ValueError:
+            # add AttributeError to bypass https://github.com/PaddlePaddle/Paddle/issues/38532 temporarily
+            except (ValueError, AttributeError):
                 pass
 
         self.apply(_remove_weight_norm)

paddlespeech/t2s/modules/tade_res_block.py

@@ -33,7 +33,11 @@ class TADELayer(nn.Layer):
         """Initilize TADE layer."""
         super().__init__()
         self.norm = nn.InstanceNorm1D(
-            in_channels, momentum=0.1, data_format="NCL")
+            in_channels,
+            momentum=0.1,
+            data_format="NCL",
+            weight_attr=False,
+            bias_attr=False)
         self.aux_conv = nn.Sequential(
             nn.Conv1D(
                 aux_channels,