yesyesjaewook
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Browse files- README.md +51 -0
- experiments/tts_jaewook/config.yaml +420 -0
- experiments/tts_jaewook/model.pth +3 -0
- experiments/tts_stats_raw_phn_none/train/energy_stats.npz +3 -0
- experiments/tts_stats_raw_phn_none/train/feats_stats.npz +3 -0
- experiments/tts_stats_raw_phn_none/train/pitch_stats.npz +3 -0
- meta.yaml +8 -0
README.md
ADDED
@@ -0,0 +1,51 @@
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---
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tags:
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- espnet
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- audio
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- text-to-speech
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language: ko
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datasets:
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- Jaewook
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license: cc-by-4.0
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---
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## ESPnet2 TTS model
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### yesyesjaewook/jets-jaewook-ko
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This model was trained by yesyesjaewook using jaewook recipe in [espnet](https://github.com/espnet/espnet/).
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### Citing ESPnet
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```BibTex
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@inproceedings{watanabe2018espnet,
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
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title={{ESPnet}: End-to-End Speech Processing Toolkit},
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year={2018},
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booktitle={Proceedings of Interspeech},
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pages={2207--2211},
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doi={10.21437/Interspeech.2018-1456},
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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}
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@inproceedings{hayashi2020espnet,
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title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
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author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
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booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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pages={7654--7658},
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year={2020},
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organization={IEEE}
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}
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```
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or arXiv:
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```bibtex
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@misc{watanabe2018espnet,
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title={ESPnet: End-to-End Speech Processing Toolkit},
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
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year={2018},
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eprint={1804.00015},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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experiments/tts_jaewook/config.yaml
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config: conf/fine_tune_jets_multi_lang.yaml
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print_config: false
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log_level: INFO
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dry_run: false
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5 |
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iterator_type: sequence
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output_dir: experiments/tts_jaewook
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ngpu: 1
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seed: 777
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num_workers: 8
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num_att_plot: 3
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: null
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dist_rank: null
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local_rank: 0
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dist_master_addr: null
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dist_master_port: null
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dist_launcher: null
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multiprocessing_distributed: false
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unused_parameters: true
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: false
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cudnn_deterministic: false
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collect_stats: false
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write_collected_feats: false
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max_epoch: 1000
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patience: null
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val_scheduler_criterion:
|
30 |
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- valid
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31 |
+
- loss
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early_stopping_criterion:
|
33 |
+
- valid
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34 |
+
- loss
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35 |
+
- min
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best_model_criterion:
|
37 |
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- - valid
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38 |
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- text2mel_loss
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- min
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+
- - train
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41 |
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- text2mel_loss
|
42 |
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- min
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43 |
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- - train
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- total_count
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+
- max
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keep_nbest_models: 100
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nbest_averaging_interval: 0
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+
grad_clip: -1
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grad_clip_type: 2.0
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grad_noise: false
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accum_grad: 1
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no_forward_run: false
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resume: true
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train_dtype: float32
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use_amp: false
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log_interval: 50
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use_matplotlib: true
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use_tensorboard: true
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create_graph_in_tensorboard: false
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use_wandb: true
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wandb_project: null
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wandb_id: null
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wandb_entity: null
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+
wandb_name: null
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wandb_model_log_interval: -1
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detect_anomaly: false
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pretrain_path: null
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init_param: []
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ignore_init_mismatch: false
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freeze_param:
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- tts.generator.lid_emb
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num_iters_per_epoch: 1000
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batch_size: 20
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valid_batch_size: null
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batch_bins: 3500000
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valid_batch_bins: null
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train_shape_file:
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- experiments/tts_stats_raw_phn_none/train/text_shape.phn
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- experiments/tts_stats_raw_phn_none/train/speech_shape
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valid_shape_file:
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81 |
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- experiments/tts_stats_raw_phn_none/valid/text_shape.phn
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- experiments/tts_stats_raw_phn_none/valid/speech_shape
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batch_type: numel
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valid_batch_type: null
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fold_length:
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- 150
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- 204800
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sort_in_batch: descending
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sort_batch: descending
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multiple_iterator: false
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chunk_length: 500
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chunk_shift_ratio: 0.5
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num_cache_chunks: 1024
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chunk_excluded_key_prefixes: []
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train_data_path_and_name_and_type:
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- - dumps/raw/train_phn/text
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- text
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- text
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- - dumps/raw/train_phn/wav.scp
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- speech
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- sound
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102 |
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- - dumps/raw/train_phn/utt2lid
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- lids
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- text_int
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valid_data_path_and_name_and_type:
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106 |
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- - dumps/raw/dev_phn/text
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- text
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108 |
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- text
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109 |
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- - dumps/raw/dev_phn/wav.scp
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- speech
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111 |
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- sound
|
112 |
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- - dumps/raw/dev_phn/utt2lid
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- lids
|
114 |
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- text_int
|
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allow_variable_data_keys: false
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116 |
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max_cache_size: 0.0
|
117 |
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max_cache_fd: 32
|
118 |
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valid_max_cache_size: null
|
119 |
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exclude_weight_decay: false
|
120 |
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exclude_weight_decay_conf: {}
|
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optim: adamw
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optim_conf:
|
123 |
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lr: 1.0e-05
|
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betas:
|
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- 0.8
|
126 |
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- 0.99
|
127 |
+
eps: 1.0e-09
|
128 |
+
weight_decay: 0.0
|
129 |
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scheduler: exponentiallr
|
130 |
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scheduler_conf:
|
131 |
+
gamma: 0.999875
|
132 |
+
optim2: adamw
|
133 |
+
optim2_conf:
|
134 |
+
lr: 1.0e-05
|
135 |
+
betas:
|
136 |
+
- 0.8
|
137 |
+
- 0.99
|
138 |
+
eps: 1.0e-09
|
139 |
+
weight_decay: 0.0
|
140 |
+
scheduler2: exponentiallr
|
141 |
+
scheduler2_conf:
|
142 |
+
gamma: 0.999875
|
143 |
+
generator_first: true
|
144 |
+
token_list:
|
145 |
+
- <blank>
|
146 |
+
- <unk>
|
147 |
+
- <space>
|
148 |
+
- ᅡ
|
149 |
+
- ᅵ
|
150 |
+
- ᅳ
|
151 |
+
- ᄋ
|
152 |
+
- ᄀ
|
153 |
+
- ᄂ
|
154 |
+
- ᅥ
|
155 |
+
- ᄅ
|
156 |
+
- ᆫ
|
157 |
+
- ᅩ
|
158 |
+
- ᄃ
|
159 |
+
- ᆯ
|
160 |
+
- ᄉ
|
161 |
+
- ᄆ
|
162 |
+
- ᄌ
|
163 |
+
- ᅮ
|
164 |
+
- .
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165 |
+
- ᄒ
|
166 |
+
- ᆮ
|
167 |
+
- ᆼ
|
168 |
+
- ᅧ
|
169 |
+
- ᅢ
|
170 |
+
- ᄇ
|
171 |
+
- ᅦ
|
172 |
+
- ᄊ
|
173 |
+
- ᄄ
|
174 |
+
- ᆷ
|
175 |
+
- ᄁ
|
176 |
+
- ᄎ
|
177 |
+
- ᄏ
|
178 |
+
- ᆨ
|
179 |
+
- ᄑ
|
180 |
+
- ᄐ
|
181 |
+
- ᅪ
|
182 |
+
- ᅭ
|
183 |
+
- ᅴ
|
184 |
+
- ᄍ
|
185 |
+
- ᆸ
|
186 |
+
- ᅣ
|
187 |
+
- ᅬ
|
188 |
+
- ᅱ
|
189 |
+
- ᄈ
|
190 |
+
- ᅯ
|
191 |
+
- '?'
|
192 |
+
- ᅨ
|
193 |
+
- ','
|
194 |
+
- ᅲ
|
195 |
+
- ᅫ
|
196 |
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- '!'
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197 |
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- ᅤ
|
198 |
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- ᅰ
|
199 |
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- '~'
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200 |
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- <sos/eos>
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201 |
+
odim: null
|
202 |
+
model_conf: {}
|
203 |
+
use_preprocessor: true
|
204 |
+
token_type: phn
|
205 |
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bpemodel: null
|
206 |
+
non_linguistic_symbols: null
|
207 |
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cleaner: korean_cleaner
|
208 |
+
g2p: g2pk_explicit_space
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209 |
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feats_extract: fbank
|
210 |
+
feats_extract_conf:
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211 |
+
n_fft: 1024
|
212 |
+
hop_length: 256
|
213 |
+
win_length: null
|
214 |
+
fs: 22050
|
215 |
+
fmin: 0
|
216 |
+
fmax: null
|
217 |
+
n_mels: 80
|
218 |
+
normalize: global_mvn
|
219 |
+
normalize_conf:
|
220 |
+
stats_file: experiments/tts_stats_raw_phn_none/train/feats_stats.npz
|
221 |
+
tts: jets
|
222 |
+
tts_conf:
|
223 |
+
generator_type: jets_generator
|
224 |
+
generator_params:
|
225 |
+
langs: 96
|
226 |
+
adim: 256
|
227 |
+
aheads: 2
|
228 |
+
elayers: 4
|
229 |
+
eunits: 1024
|
230 |
+
dlayers: 4
|
231 |
+
dunits: 1024
|
232 |
+
positionwise_layer_type: conv1d
|
233 |
+
positionwise_conv_kernel_size: 3
|
234 |
+
duration_predictor_layers: 2
|
235 |
+
duration_predictor_chans: 256
|
236 |
+
duration_predictor_kernel_size: 3
|
237 |
+
use_masking: true
|
238 |
+
encoder_normalize_before: true
|
239 |
+
decoder_normalize_before: true
|
240 |
+
encoder_type: transformer
|
241 |
+
decoder_type: transformer
|
242 |
+
conformer_rel_pos_type: latest
|
243 |
+
conformer_pos_enc_layer_type: rel_pos
|
244 |
+
conformer_self_attn_layer_type: rel_selfattn
|
245 |
+
conformer_activation_type: swish
|
246 |
+
use_macaron_style_in_conformer: true
|
247 |
+
use_cnn_in_conformer: true
|
248 |
+
conformer_enc_kernel_size: 7
|
249 |
+
conformer_dec_kernel_size: 31
|
250 |
+
init_type: xavier_uniform
|
251 |
+
transformer_enc_dropout_rate: 0.2
|
252 |
+
transformer_enc_positional_dropout_rate: 0.2
|
253 |
+
transformer_enc_attn_dropout_rate: 0.2
|
254 |
+
transformer_dec_dropout_rate: 0.2
|
255 |
+
transformer_dec_positional_dropout_rate: 0.2
|
256 |
+
transformer_dec_attn_dropout_rate: 0.2
|
257 |
+
pitch_predictor_layers: 5
|
258 |
+
pitch_predictor_chans: 256
|
259 |
+
pitch_predictor_kernel_size: 5
|
260 |
+
pitch_predictor_dropout: 0.5
|
261 |
+
pitch_embed_kernel_size: 1
|
262 |
+
pitch_embed_dropout: 0.0
|
263 |
+
stop_gradient_from_pitch_predictor: true
|
264 |
+
energy_predictor_layers: 2
|
265 |
+
energy_predictor_chans: 256
|
266 |
+
energy_predictor_kernel_size: 3
|
267 |
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energy_predictor_dropout: 0.5
|
268 |
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energy_embed_kernel_size: 1
|
269 |
+
energy_embed_dropout: 0.0
|
270 |
+
stop_gradient_from_energy_predictor: false
|
271 |
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generator_out_channels: 1
|
272 |
+
generator_channels: 512
|
273 |
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generator_global_channels: -1
|
274 |
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generator_kernel_size: 7
|
275 |
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generator_upsample_scales:
|
276 |
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- 8
|
277 |
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- 8
|
278 |
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- 2
|
279 |
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- 2
|
280 |
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generator_upsample_kernel_sizes:
|
281 |
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- 16
|
282 |
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- 16
|
283 |
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- 4
|
284 |
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- 4
|
285 |
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generator_resblock_kernel_sizes:
|
286 |
+
- 3
|
287 |
+
- 7
|
288 |
+
- 11
|
289 |
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generator_resblock_dilations:
|
290 |
+
- - 1
|
291 |
+
- 3
|
292 |
+
- 5
|
293 |
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- - 1
|
294 |
+
- 3
|
295 |
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- 5
|
296 |
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- - 1
|
297 |
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- 3
|
298 |
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- 5
|
299 |
+
generator_use_additional_convs: true
|
300 |
+
generator_bias: true
|
301 |
+
generator_nonlinear_activation: LeakyReLU
|
302 |
+
generator_nonlinear_activation_params:
|
303 |
+
negative_slope: 0.1
|
304 |
+
generator_use_weight_norm: true
|
305 |
+
segment_size: 64
|
306 |
+
idim: 56
|
307 |
+
odim: 80
|
308 |
+
discriminator_type: hifigan_multi_scale_multi_period_discriminator
|
309 |
+
discriminator_params:
|
310 |
+
scales: 1
|
311 |
+
scale_downsample_pooling: AvgPool1d
|
312 |
+
scale_downsample_pooling_params:
|
313 |
+
kernel_size: 4
|
314 |
+
stride: 2
|
315 |
+
padding: 2
|
316 |
+
scale_discriminator_params:
|
317 |
+
in_channels: 1
|
318 |
+
out_channels: 1
|
319 |
+
kernel_sizes:
|
320 |
+
- 15
|
321 |
+
- 41
|
322 |
+
- 5
|
323 |
+
- 3
|
324 |
+
channels: 128
|
325 |
+
max_downsample_channels: 1024
|
326 |
+
max_groups: 16
|
327 |
+
bias: true
|
328 |
+
downsample_scales:
|
329 |
+
- 2
|
330 |
+
- 2
|
331 |
+
- 4
|
332 |
+
- 4
|
333 |
+
- 1
|
334 |
+
nonlinear_activation: LeakyReLU
|
335 |
+
nonlinear_activation_params:
|
336 |
+
negative_slope: 0.1
|
337 |
+
use_weight_norm: true
|
338 |
+
use_spectral_norm: false
|
339 |
+
follow_official_norm: false
|
340 |
+
periods:
|
341 |
+
- 2
|
342 |
+
- 3
|
343 |
+
- 5
|
344 |
+
- 7
|
345 |
+
- 11
|
346 |
+
period_discriminator_params:
|
347 |
+
in_channels: 1
|
348 |
+
out_channels: 1
|
349 |
+
kernel_sizes:
|
350 |
+
- 5
|
351 |
+
- 3
|
352 |
+
channels: 32
|
353 |
+
downsample_scales:
|
354 |
+
- 3
|
355 |
+
- 3
|
356 |
+
- 3
|
357 |
+
- 3
|
358 |
+
- 1
|
359 |
+
max_downsample_channels: 1024
|
360 |
+
bias: true
|
361 |
+
nonlinear_activation: LeakyReLU
|
362 |
+
nonlinear_activation_params:
|
363 |
+
negative_slope: 0.1
|
364 |
+
use_weight_norm: true
|
365 |
+
use_spectral_norm: false
|
366 |
+
generator_adv_loss_params:
|
367 |
+
average_by_discriminators: false
|
368 |
+
loss_type: mse
|
369 |
+
discriminator_adv_loss_params:
|
370 |
+
average_by_discriminators: false
|
371 |
+
loss_type: mse
|
372 |
+
feat_match_loss_params:
|
373 |
+
average_by_discriminators: false
|
374 |
+
average_by_layers: false
|
375 |
+
include_final_outputs: true
|
376 |
+
mel_loss_params:
|
377 |
+
fs: 22050
|
378 |
+
n_fft: 1024
|
379 |
+
hop_length: 256
|
380 |
+
win_length: null
|
381 |
+
window: hann
|
382 |
+
n_mels: 80
|
383 |
+
fmin: 0
|
384 |
+
fmax: null
|
385 |
+
log_base: null
|
386 |
+
lambda_adv: 1.0
|
387 |
+
lambda_mel: 45.0
|
388 |
+
lambda_feat_match: 2.0
|
389 |
+
lambda_var: 1.0
|
390 |
+
lambda_align: 2.0
|
391 |
+
sampling_rate: 22050
|
392 |
+
cache_generator_outputs: true
|
393 |
+
pitch_extract: dio
|
394 |
+
pitch_extract_conf:
|
395 |
+
reduction_factor: 1
|
396 |
+
use_token_averaged_f0: false
|
397 |
+
fs: 22050
|
398 |
+
n_fft: 1024
|
399 |
+
hop_length: 256
|
400 |
+
f0max: 400
|
401 |
+
f0min: 80
|
402 |
+
pitch_normalize: global_mvn
|
403 |
+
pitch_normalize_conf:
|
404 |
+
stats_file: experiments/tts_stats_raw_phn_none/train/pitch_stats.npz
|
405 |
+
energy_extract: energy
|
406 |
+
energy_extract_conf:
|
407 |
+
reduction_factor: 1
|
408 |
+
use_token_averaged_energy: false
|
409 |
+
fs: 22050
|
410 |
+
n_fft: 1024
|
411 |
+
hop_length: 256
|
412 |
+
win_length: null
|
413 |
+
energy_normalize: global_mvn
|
414 |
+
energy_normalize_conf:
|
415 |
+
stats_file: experiments/tts_stats_raw_phn_none/train/energy_stats.npz
|
416 |
+
required:
|
417 |
+
- output_dir
|
418 |
+
- token_list
|
419 |
+
version: '202301'
|
420 |
+
distributed: false
|
experiments/tts_jaewook/model.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ffec6be5944f06e945f461f2cbc0ac7358a31bcd2718412a3f01d984728fc78b
|
3 |
+
size 333767147
|
experiments/tts_stats_raw_phn_none/train/energy_stats.npz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae615a5bf81d1ccdbd7577dea026a5e6fcdef3f67cc390c6cf2896979054b09e
|
3 |
+
size 770
|
experiments/tts_stats_raw_phn_none/train/feats_stats.npz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fc6e274870e5dc3fd137ab378d707332b8429fd4dc09a14ee9e7f88dd5f3584
|
3 |
+
size 1402
|
experiments/tts_stats_raw_phn_none/train/pitch_stats.npz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:17a62c752d615f82e2f0182696c4c22c9f1a57226035e06ada5490f2a3c0d4ef
|
3 |
+
size 770
|
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: '202301'
|
2 |
+
files:
|
3 |
+
model_file: experiments/tts_jaewook/model.pth
|
4 |
+
python: 3.10.9 (main, Dec 29 2022, 07:07:21) [GCC 11.3.0]
|
5 |
+
timestamp: 1680614714.734043
|
6 |
+
torch: 1.13.1+cu117
|
7 |
+
yaml_files:
|
8 |
+
train_config: experiments/tts_jaewook/config.yaml
|