import from zenodo
Browse files- README.md +50 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/50epoch.pth +3 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/config.yaml +393 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_backward_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_fake_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_forward_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_optim_step_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_real_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_train_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_adv_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_backward_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_dur_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_feat_match_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_forward_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_kl_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_mel_loss.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_optim_step_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_train_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/gpu_max_cached_mem_GB.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/iter_time.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/optim0_lr0.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/optim1_lr0.png +0 -0
- exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/train_time.png +0 -0
- meta.yaml +8 -0
README.md
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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: ja
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datasets:
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- jvs
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license: cc-by-4.0
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---
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## ESPnet2 TTS pretrained model
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### `kan-bayashi/jvs_tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause_latest`
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♻️ Imported from https://zenodo.org/record/5432540/
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This model was trained by kan-bayashi using jvs/tts1 recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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```python
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# coming soon
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```
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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 {Enrique Yalta Soplin} 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 Enrique Yalta Soplin 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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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/50epoch.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:507e8ba23d0e06a772ebf5ec37826efce3b94782af6045313b5203a19eb32695
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size 372578383
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/config.yaml
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config: ./conf/tuning/finetune_vits.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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iterator_type: sequence
|
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output_dir: exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause
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ngpu: 1
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seed: 777
|
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num_workers: 4
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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: 4
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dist_rank: 0
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local_rank: 0
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dist_master_addr: localhost
|
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dist_master_port: 41512
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dist_launcher: null
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multiprocessing_distributed: true
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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: true
|
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collect_stats: false
|
26 |
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write_collected_feats: false
|
27 |
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max_epoch: 50
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patience: null
|
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val_scheduler_criterion:
|
30 |
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- valid
|
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- loss
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early_stopping_criterion:
|
33 |
+
- valid
|
34 |
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- loss
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35 |
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- min
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36 |
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best_model_criterion:
|
37 |
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- - train
|
38 |
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- total_count
|
39 |
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- max
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keep_nbest_models: 10
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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_tensorboard: true
|
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use_wandb: false
|
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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:
|
60 |
+
- ../../jsut/tts1/exp/tts_train_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/latest.pth:tts:tts
|
61 |
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ignore_init_mismatch: false
|
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freeze_param: []
|
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num_iters_per_epoch: 1000
|
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batch_size: 20
|
65 |
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valid_batch_size: null
|
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batch_bins: 5000000
|
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valid_batch_bins: null
|
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train_shape_file:
|
69 |
+
- exp/tts_stats_jvs001_raw_linear_spectrogram_phn_jaconv_pyopenjtalk_accent_with_pause/train/text_shape.phn
|
70 |
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- exp/tts_stats_jvs001_raw_linear_spectrogram_phn_jaconv_pyopenjtalk_accent_with_pause/train/speech_shape
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valid_shape_file:
|
72 |
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- exp/tts_stats_jvs001_raw_linear_spectrogram_phn_jaconv_pyopenjtalk_accent_with_pause/valid/text_shape.phn
|
73 |
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- exp/tts_stats_jvs001_raw_linear_spectrogram_phn_jaconv_pyopenjtalk_accent_with_pause/valid/speech_shape
|
74 |
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batch_type: numel
|
75 |
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valid_batch_type: null
|
76 |
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fold_length:
|
77 |
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- 150
|
78 |
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- 204800
|
79 |
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sort_in_batch: descending
|
80 |
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sort_batch: descending
|
81 |
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multiple_iterator: false
|
82 |
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chunk_length: 500
|
83 |
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chunk_shift_ratio: 0.5
|
84 |
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num_cache_chunks: 1024
|
85 |
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train_data_path_and_name_and_type:
|
86 |
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- - dump/22k/raw/jvs001_tr_no_dev/text
|
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- text
|
88 |
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- text
|
89 |
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- - dump/22k/raw/jvs001_tr_no_dev/wav.scp
|
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- speech
|
91 |
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- sound
|
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valid_data_path_and_name_and_type:
|
93 |
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- - dump/22k/raw/jvs001_dev/text
|
94 |
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- text
|
95 |
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- text
|
96 |
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- - dump/22k/raw/jvs001_dev/wav.scp
|
97 |
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- speech
|
98 |
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- sound
|
99 |
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allow_variable_data_keys: false
|
100 |
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max_cache_size: 0.0
|
101 |
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max_cache_fd: 32
|
102 |
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valid_max_cache_size: null
|
103 |
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optim: adamw
|
104 |
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optim_conf:
|
105 |
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lr: 2.0e-05
|
106 |
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betas:
|
107 |
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- 0.8
|
108 |
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- 0.99
|
109 |
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eps: 1.0e-09
|
110 |
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weight_decay: 0.0
|
111 |
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scheduler: exponentiallr
|
112 |
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scheduler_conf:
|
113 |
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gamma: 0.999875
|
114 |
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optim2: adamw
|
115 |
+
optim2_conf:
|
116 |
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lr: 2.0e-05
|
117 |
+
betas:
|
118 |
+
- 0.8
|
119 |
+
- 0.99
|
120 |
+
eps: 1.0e-09
|
121 |
+
weight_decay: 0.0
|
122 |
+
scheduler2: exponentiallr
|
123 |
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scheduler2_conf:
|
124 |
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gamma: 0.999875
|
125 |
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generator_first: false
|
126 |
+
token_list:
|
127 |
+
- <blank>
|
128 |
+
- <unk>
|
129 |
+
- '1'
|
130 |
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- '2'
|
131 |
+
- '0'
|
132 |
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|
133 |
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|
134 |
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|
135 |
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|
136 |
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137 |
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|
138 |
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|
139 |
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|
140 |
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|
141 |
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|
142 |
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|
143 |
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|
144 |
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145 |
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146 |
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|
147 |
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- r
|
148 |
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|
149 |
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- s
|
150 |
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|
151 |
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- m
|
152 |
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- pau
|
153 |
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- '7'
|
154 |
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- sh
|
155 |
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- d
|
156 |
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- g
|
157 |
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|
158 |
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|
159 |
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- U
|
160 |
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|
161 |
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- I
|
162 |
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|
163 |
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- h
|
164 |
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|
165 |
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- b
|
166 |
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- '9'
|
167 |
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|
168 |
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- ts
|
169 |
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- ch
|
170 |
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|
171 |
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- z
|
172 |
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- p
|
173 |
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- '-7'
|
174 |
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- f
|
175 |
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- ky
|
176 |
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- ry
|
177 |
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- '-8'
|
178 |
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- gy
|
179 |
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|
180 |
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- hy
|
181 |
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- ny
|
182 |
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|
183 |
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|
184 |
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186 |
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|
187 |
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|
188 |
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|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
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|
194 |
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|
195 |
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|
196 |
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|
197 |
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|
198 |
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|
199 |
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|
200 |
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|
201 |
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202 |
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203 |
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205 |
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206 |
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207 |
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|
208 |
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209 |
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|
210 |
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|
211 |
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- <sos/eos>
|
212 |
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odim: null
|
213 |
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model_conf: {}
|
214 |
+
use_preprocessor: true
|
215 |
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token_type: phn
|
216 |
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bpemodel: null
|
217 |
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non_linguistic_symbols: null
|
218 |
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cleaner: jaconv
|
219 |
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g2p: pyopenjtalk_accent_with_pause
|
220 |
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feats_extract: linear_spectrogram
|
221 |
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feats_extract_conf:
|
222 |
+
n_fft: 1024
|
223 |
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hop_length: 256
|
224 |
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win_length: null
|
225 |
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normalize: null
|
226 |
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normalize_conf: {}
|
227 |
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tts: vits
|
228 |
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tts_conf:
|
229 |
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generator_type: vits_generator
|
230 |
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generator_params:
|
231 |
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hidden_channels: 192
|
232 |
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spks: -1
|
233 |
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global_channels: -1
|
234 |
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segment_size: 32
|
235 |
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text_encoder_attention_heads: 2
|
236 |
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text_encoder_ffn_expand: 4
|
237 |
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text_encoder_blocks: 6
|
238 |
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text_encoder_positionwise_layer_type: conv1d
|
239 |
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text_encoder_positionwise_conv_kernel_size: 3
|
240 |
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text_encoder_positional_encoding_layer_type: rel_pos
|
241 |
+
text_encoder_self_attention_layer_type: rel_selfattn
|
242 |
+
text_encoder_activation_type: swish
|
243 |
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text_encoder_normalize_before: true
|
244 |
+
text_encoder_dropout_rate: 0.1
|
245 |
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text_encoder_positional_dropout_rate: 0.0
|
246 |
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text_encoder_attention_dropout_rate: 0.1
|
247 |
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use_macaron_style_in_text_encoder: true
|
248 |
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use_conformer_conv_in_text_encoder: false
|
249 |
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text_encoder_conformer_kernel_size: -1
|
250 |
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decoder_kernel_size: 7
|
251 |
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decoder_channels: 512
|
252 |
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decoder_upsample_scales:
|
253 |
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- 8
|
254 |
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- 8
|
255 |
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- 2
|
256 |
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- 2
|
257 |
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decoder_upsample_kernel_sizes:
|
258 |
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- 16
|
259 |
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- 16
|
260 |
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- 4
|
261 |
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- 4
|
262 |
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decoder_resblock_kernel_sizes:
|
263 |
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- 3
|
264 |
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- 7
|
265 |
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- 11
|
266 |
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decoder_resblock_dilations:
|
267 |
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- - 1
|
268 |
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- 3
|
269 |
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- 5
|
270 |
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- - 1
|
271 |
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- 3
|
272 |
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- 5
|
273 |
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- - 1
|
274 |
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- 3
|
275 |
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- 5
|
276 |
+
use_weight_norm_in_decoder: true
|
277 |
+
posterior_encoder_kernel_size: 5
|
278 |
+
posterior_encoder_layers: 16
|
279 |
+
posterior_encoder_stacks: 1
|
280 |
+
posterior_encoder_base_dilation: 1
|
281 |
+
posterior_encoder_dropout_rate: 0.0
|
282 |
+
use_weight_norm_in_posterior_encoder: true
|
283 |
+
flow_flows: 4
|
284 |
+
flow_kernel_size: 5
|
285 |
+
flow_base_dilation: 1
|
286 |
+
flow_layers: 4
|
287 |
+
flow_dropout_rate: 0.0
|
288 |
+
use_weight_norm_in_flow: true
|
289 |
+
use_only_mean_in_flow: true
|
290 |
+
stochastic_duration_predictor_kernel_size: 3
|
291 |
+
stochastic_duration_predictor_dropout_rate: 0.5
|
292 |
+
stochastic_duration_predictor_flows: 4
|
293 |
+
stochastic_duration_predictor_dds_conv_layers: 3
|
294 |
+
vocabs: 85
|
295 |
+
aux_channels: 513
|
296 |
+
discriminator_type: hifigan_multi_scale_multi_period_discriminator
|
297 |
+
discriminator_params:
|
298 |
+
scales: 1
|
299 |
+
scale_downsample_pooling: AvgPool1d
|
300 |
+
scale_downsample_pooling_params:
|
301 |
+
kernel_size: 4
|
302 |
+
stride: 2
|
303 |
+
padding: 2
|
304 |
+
scale_discriminator_params:
|
305 |
+
in_channels: 1
|
306 |
+
out_channels: 1
|
307 |
+
kernel_sizes:
|
308 |
+
- 15
|
309 |
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- 41
|
310 |
+
- 5
|
311 |
+
- 3
|
312 |
+
channels: 128
|
313 |
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max_downsample_channels: 1024
|
314 |
+
max_groups: 16
|
315 |
+
bias: true
|
316 |
+
downsample_scales:
|
317 |
+
- 2
|
318 |
+
- 2
|
319 |
+
- 4
|
320 |
+
- 4
|
321 |
+
- 1
|
322 |
+
nonlinear_activation: LeakyReLU
|
323 |
+
nonlinear_activation_params:
|
324 |
+
negative_slope: 0.1
|
325 |
+
use_weight_norm: true
|
326 |
+
use_spectral_norm: false
|
327 |
+
follow_official_norm: false
|
328 |
+
periods:
|
329 |
+
- 2
|
330 |
+
- 3
|
331 |
+
- 5
|
332 |
+
- 7
|
333 |
+
- 11
|
334 |
+
period_discriminator_params:
|
335 |
+
in_channels: 1
|
336 |
+
out_channels: 1
|
337 |
+
kernel_sizes:
|
338 |
+
- 5
|
339 |
+
- 3
|
340 |
+
channels: 32
|
341 |
+
downsample_scales:
|
342 |
+
- 3
|
343 |
+
- 3
|
344 |
+
- 3
|
345 |
+
- 3
|
346 |
+
- 1
|
347 |
+
max_downsample_channels: 1024
|
348 |
+
bias: true
|
349 |
+
nonlinear_activation: LeakyReLU
|
350 |
+
nonlinear_activation_params:
|
351 |
+
negative_slope: 0.1
|
352 |
+
use_weight_norm: true
|
353 |
+
use_spectral_norm: false
|
354 |
+
generator_adv_loss_params:
|
355 |
+
average_by_discriminators: false
|
356 |
+
loss_type: mse
|
357 |
+
discriminator_adv_loss_params:
|
358 |
+
average_by_discriminators: false
|
359 |
+
loss_type: mse
|
360 |
+
feat_match_loss_params:
|
361 |
+
average_by_discriminators: false
|
362 |
+
average_by_layers: false
|
363 |
+
include_final_outputs: true
|
364 |
+
mel_loss_params:
|
365 |
+
fs: 22050
|
366 |
+
n_fft: 1024
|
367 |
+
hop_length: 256
|
368 |
+
win_length: null
|
369 |
+
window: hann
|
370 |
+
n_mels: 80
|
371 |
+
fmin: 0
|
372 |
+
fmax: null
|
373 |
+
log_base: null
|
374 |
+
lambda_adv: 1.0
|
375 |
+
lambda_mel: 45.0
|
376 |
+
lambda_feat_match: 2.0
|
377 |
+
lambda_dur: 1.0
|
378 |
+
lambda_kl: 1.0
|
379 |
+
sampling_rate: 22050
|
380 |
+
cache_generator_outputs: true
|
381 |
+
pitch_extract: null
|
382 |
+
pitch_extract_conf: {}
|
383 |
+
pitch_normalize: null
|
384 |
+
pitch_normalize_conf: {}
|
385 |
+
energy_extract: null
|
386 |
+
energy_extract_conf: {}
|
387 |
+
energy_normalize: null
|
388 |
+
energy_normalize_conf: {}
|
389 |
+
required:
|
390 |
+
- output_dir
|
391 |
+
- token_list
|
392 |
+
version: 0.10.3a1
|
393 |
+
distributed: true
|
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_backward_time.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_fake_loss.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_forward_time.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_optim_step_time.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_real_loss.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/discriminator_train_time.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_adv_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_backward_time.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_dur_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_feat_match_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_forward_time.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_kl_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_mel_loss.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_optim_step_time.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/generator_train_time.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/gpu_max_cached_mem_GB.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/iter_time.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/optim0_lr0.png
ADDED
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exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/optim1_lr0.png
ADDED
![]() |
exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/images/train_time.png
ADDED
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meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: 0.10.3a1
|
2 |
+
files:
|
3 |
+
model_file: exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/50epoch.pth
|
4 |
+
python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]"
|
5 |
+
timestamp: 1630722941.449679
|
6 |
+
torch: 1.7.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/tts_finetune_jvs001_jsut_vits_raw_phn_jaconv_pyopenjtalk_accent_with_pause/config.yaml
|