import from zenodo
Browse files- README.md +50 -0
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/config.yaml +253 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/backward_time.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/bce_loss.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/decoder_alpha.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/enc_dec_attn_loss.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/encoder_alpha.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/forward_time.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/iter_time.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/l1_loss.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/l2_loss.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/loss.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/lr_0.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/optim_step_time.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/train_time.png +0 -0
- exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/train.loss.ave_5best.pth +3 -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: en
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datasets:
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- ljspeech
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license: cc-by-4.0
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---
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## Example ESPnet2 TTS model
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### `kan-bayashi/ljspeech_transformer`
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♻️ Imported from https://zenodo.org/record/4039194/
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This model was trained by kan-bayashi using ljspeech/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_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz
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Binary file (1.4 kB). View file
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exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/config.yaml
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config: conf/tuning/train_transformer.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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6 |
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output_dir: exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space
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7 |
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ngpu: 1
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seed: 0
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num_workers: 1
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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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15 |
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local_rank: 0
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16 |
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dist_master_addr: localhost
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dist_master_port: 53481
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18 |
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dist_launcher: null
|
19 |
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multiprocessing_distributed: true
|
20 |
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cudnn_enabled: true
|
21 |
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cudnn_benchmark: false
|
22 |
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cudnn_deterministic: true
|
23 |
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collect_stats: false
|
24 |
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write_collected_feats: false
|
25 |
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max_epoch: 200
|
26 |
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patience: null
|
27 |
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val_scheduler_criterion:
|
28 |
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- valid
|
29 |
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- loss
|
30 |
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early_stopping_criterion:
|
31 |
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- valid
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32 |
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- loss
|
33 |
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- min
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34 |
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best_model_criterion:
|
35 |
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- - valid
|
36 |
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- loss
|
37 |
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- min
|
38 |
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- - train
|
39 |
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- loss
|
40 |
+
- min
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41 |
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keep_nbest_models: 5
|
42 |
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grad_clip: 1.0
|
43 |
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grad_clip_type: 2.0
|
44 |
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grad_noise: false
|
45 |
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accum_grad: 2
|
46 |
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no_forward_run: false
|
47 |
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resume: true
|
48 |
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train_dtype: float32
|
49 |
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use_amp: false
|
50 |
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log_interval: null
|
51 |
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pretrain_path: []
|
52 |
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pretrain_key: []
|
53 |
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num_iters_per_epoch: 1000
|
54 |
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batch_size: 20
|
55 |
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valid_batch_size: null
|
56 |
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batch_bins: 9000000
|
57 |
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valid_batch_bins: null
|
58 |
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train_shape_file:
|
59 |
+
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/text_shape.phn
|
60 |
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- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/speech_shape
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61 |
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valid_shape_file:
|
62 |
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- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/text_shape.phn
|
63 |
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- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/speech_shape
|
64 |
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batch_type: numel
|
65 |
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valid_batch_type: null
|
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fold_length:
|
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- 150
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68 |
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- 204800
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69 |
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sort_in_batch: descending
|
70 |
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sort_batch: descending
|
71 |
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multiple_iterator: false
|
72 |
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chunk_length: 500
|
73 |
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chunk_shift_ratio: 0.5
|
74 |
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num_cache_chunks: 1024
|
75 |
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train_data_path_and_name_and_type:
|
76 |
+
- - dump/raw/tr_no_dev/text
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- text
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78 |
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- text
|
79 |
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- - dump/raw/tr_no_dev/wav.scp
|
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- speech
|
81 |
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- sound
|
82 |
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valid_data_path_and_name_and_type:
|
83 |
+
- - dump/raw/dev/text
|
84 |
+
- text
|
85 |
+
- text
|
86 |
+
- - dump/raw/dev/wav.scp
|
87 |
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- speech
|
88 |
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- sound
|
89 |
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allow_variable_data_keys: false
|
90 |
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max_cache_size: 0.0
|
91 |
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valid_max_cache_size: null
|
92 |
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optim: adam
|
93 |
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optim_conf:
|
94 |
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lr: 1.0
|
95 |
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scheduler: noamlr
|
96 |
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scheduler_conf:
|
97 |
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model_size: 512
|
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warmup_steps: 8000
|
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+
token_list:
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- <blank>
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- <unk>
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102 |
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- AH0
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103 |
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- N
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104 |
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- T
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105 |
+
- D
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106 |
+
- S
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107 |
+
- R
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108 |
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- L
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109 |
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- DH
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110 |
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- K
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111 |
+
- Z
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- IH1
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113 |
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- IH0
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114 |
+
- M
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115 |
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- EH1
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116 |
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- W
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117 |
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- P
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118 |
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- AE1
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119 |
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- AH1
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120 |
+
- V
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121 |
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- ER0
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122 |
+
- F
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123 |
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- ','
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124 |
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- AA1
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125 |
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- B
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126 |
+
- HH
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127 |
+
- IY1
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128 |
+
- UW1
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129 |
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- IY0
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130 |
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- AO1
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131 |
+
- EY1
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132 |
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- AY1
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133 |
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- .
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134 |
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- OW1
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135 |
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- SH
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136 |
+
- NG
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137 |
+
- G
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138 |
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- ER1
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139 |
+
- CH
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140 |
+
- JH
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141 |
+
- Y
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142 |
+
- AW1
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143 |
+
- TH
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144 |
+
- UH1
|
145 |
+
- EH2
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146 |
+
- OW0
|
147 |
+
- EY2
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148 |
+
- AO0
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149 |
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- IH2
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150 |
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- AE2
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151 |
+
- AY2
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152 |
+
- AA2
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153 |
+
- UW0
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154 |
+
- EH0
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155 |
+
- OY1
|
156 |
+
- EY0
|
157 |
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- AO2
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158 |
+
- ZH
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159 |
+
- OW2
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160 |
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- AE0
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161 |
+
- UW2
|
162 |
+
- AH2
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163 |
+
- AY0
|
164 |
+
- IY2
|
165 |
+
- AW2
|
166 |
+
- AA0
|
167 |
+
- ''''
|
168 |
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- ER2
|
169 |
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- UH2
|
170 |
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- '?'
|
171 |
+
- OY2
|
172 |
+
- '!'
|
173 |
+
- AW0
|
174 |
+
- UH0
|
175 |
+
- OY0
|
176 |
+
- ..
|
177 |
+
- <sos/eos>
|
178 |
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odim: null
|
179 |
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model_conf: {}
|
180 |
+
use_preprocessor: true
|
181 |
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token_type: phn
|
182 |
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bpemodel: null
|
183 |
+
non_linguistic_symbols: null
|
184 |
+
cleaner: tacotron
|
185 |
+
g2p: g2p_en_no_space
|
186 |
+
feats_extract: fbank
|
187 |
+
feats_extract_conf:
|
188 |
+
fs: 22050
|
189 |
+
fmin: 80
|
190 |
+
fmax: 7600
|
191 |
+
n_mels: 80
|
192 |
+
hop_length: 256
|
193 |
+
n_fft: 1024
|
194 |
+
win_length: null
|
195 |
+
normalize: global_mvn
|
196 |
+
normalize_conf:
|
197 |
+
stats_file: exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz
|
198 |
+
tts: transformer
|
199 |
+
tts_conf:
|
200 |
+
embed_dim: 0
|
201 |
+
eprenet_conv_layers: 0
|
202 |
+
eprenet_conv_filts: 0
|
203 |
+
eprenet_conv_chans: 0
|
204 |
+
dprenet_layers: 2
|
205 |
+
dprenet_units: 256
|
206 |
+
adim: 512
|
207 |
+
aheads: 8
|
208 |
+
elayers: 6
|
209 |
+
eunits: 1024
|
210 |
+
dlayers: 6
|
211 |
+
dunits: 1024
|
212 |
+
positionwise_layer_type: conv1d
|
213 |
+
positionwise_conv_kernel_size: 1
|
214 |
+
postnet_layers: 5
|
215 |
+
postnet_filts: 5
|
216 |
+
postnet_chans: 256
|
217 |
+
use_masking: true
|
218 |
+
bce_pos_weight: 5.0
|
219 |
+
use_scaled_pos_enc: true
|
220 |
+
encoder_normalize_before: true
|
221 |
+
decoder_normalize_before: true
|
222 |
+
reduction_factor: 1
|
223 |
+
init_type: xavier_uniform
|
224 |
+
init_enc_alpha: 1.0
|
225 |
+
init_dec_alpha: 1.0
|
226 |
+
eprenet_dropout_rate: 0.0
|
227 |
+
dprenet_dropout_rate: 0.5
|
228 |
+
postnet_dropout_rate: 0.5
|
229 |
+
transformer_enc_dropout_rate: 0.1
|
230 |
+
transformer_enc_positional_dropout_rate: 0.1
|
231 |
+
transformer_enc_attn_dropout_rate: 0.1
|
232 |
+
transformer_dec_dropout_rate: 0.1
|
233 |
+
transformer_dec_positional_dropout_rate: 0.1
|
234 |
+
transformer_dec_attn_dropout_rate: 0.1
|
235 |
+
transformer_enc_dec_attn_dropout_rate: 0.1
|
236 |
+
use_guided_attn_loss: true
|
237 |
+
num_heads_applied_guided_attn: 2
|
238 |
+
num_layers_applied_guided_attn: 2
|
239 |
+
modules_applied_guided_attn:
|
240 |
+
- encoder-decoder
|
241 |
+
guided_attn_loss_lambda: 10.0
|
242 |
+
pitch_extract: null
|
243 |
+
pitch_extract_conf: {}
|
244 |
+
pitch_normalize: null
|
245 |
+
pitch_normalize_conf: {}
|
246 |
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energy_extract: null
|
247 |
+
energy_extract_conf: {}
|
248 |
+
energy_normalize: null
|
249 |
+
energy_normalize_conf: {}
|
250 |
+
required:
|
251 |
+
- output_dir
|
252 |
+
- token_list
|
253 |
+
distributed: true
|
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/backward_time.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/bce_loss.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/decoder_alpha.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/enc_dec_attn_loss.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/encoder_alpha.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/forward_time.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/iter_time.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/l1_loss.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/l2_loss.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/loss.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/lr_0.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/optim_step_time.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/images/train_time.png
ADDED
exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/train.loss.ave_5best.pth
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:61fb5c7180013afa60526105e2650e9eb5ae41c7d3336f9e3b1e01179c31417a
|
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size 132380423
|
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
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|
1 |
+
espnet: 0.8.0
|
2 |
+
files:
|
3 |
+
model_file: exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/train.loss.ave_5best.pth
|
4 |
+
python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]"
|
5 |
+
timestamp: 1600568352.208606
|
6 |
+
torch: 1.5.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/tts_train_transformer_raw_phn_tacotron_g2p_en_no_space/config.yaml
|