import from zenodo
Browse files- README.md +50 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/config.yaml +411 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/backward_time.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/decoder_alpha.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/duration_loss.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/encoder_alpha.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/energy_loss.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/forward_time.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/iter_time.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/l1_loss.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/loss.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/lr_0.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/optim_step_time.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/pitch_loss.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/train_time.png +0 -0
- exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/train.loss.ave_5best.pth +3 -0
- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/energy_stats.npz +0 -0
- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/feats_stats.npz +0 -0
- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/pitch_stats.npz +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: zh
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datasets:
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- csmsc
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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/csmsc_fastspeech2`
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♻️ Imported from https://zenodo.org/record/4031953/
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This model was trained by kan-bayashi using csmsc/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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46 |
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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_train_fastspeech2_raw_phn_pypinyin_g2p_phone/config.yaml
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config: conf/tuning/train_fastspeech2.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 1
|
10 |
+
num_att_plot: 3
|
11 |
+
dist_backend: nccl
|
12 |
+
dist_init_method: env://
|
13 |
+
dist_world_size: null
|
14 |
+
dist_rank: null
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: null
|
17 |
+
dist_master_port: null
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: false
|
20 |
+
cudnn_enabled: true
|
21 |
+
cudnn_benchmark: false
|
22 |
+
cudnn_deterministic: true
|
23 |
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collect_stats: false
|
24 |
+
write_collected_feats: false
|
25 |
+
max_epoch: 1000
|
26 |
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patience: null
|
27 |
+
val_scheduler_criterion:
|
28 |
+
- valid
|
29 |
+
- loss
|
30 |
+
early_stopping_criterion:
|
31 |
+
- valid
|
32 |
+
- loss
|
33 |
+
- min
|
34 |
+
best_model_criterion:
|
35 |
+
- - valid
|
36 |
+
- loss
|
37 |
+
- min
|
38 |
+
- - train
|
39 |
+
- loss
|
40 |
+
- min
|
41 |
+
keep_nbest_models: 5
|
42 |
+
grad_clip: 1.0
|
43 |
+
grad_clip_type: 2.0
|
44 |
+
grad_noise: false
|
45 |
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accum_grad: 8
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
+
train_dtype: float32
|
49 |
+
use_amp: false
|
50 |
+
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: 500
|
54 |
+
batch_size: 20
|
55 |
+
valid_batch_size: null
|
56 |
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batch_bins: 3000000
|
57 |
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valid_batch_bins: null
|
58 |
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train_shape_file:
|
59 |
+
- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/text_shape.phn
|
60 |
+
- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/speech_shape
|
61 |
+
valid_shape_file:
|
62 |
+
- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/text_shape.phn
|
63 |
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- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/speech_shape
|
64 |
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batch_type: numel
|
65 |
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valid_batch_type: null
|
66 |
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fold_length:
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67 |
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- 150
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68 |
+
- 240000
|
69 |
+
sort_in_batch: descending
|
70 |
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sort_batch: descending
|
71 |
+
multiple_iterator: false
|
72 |
+
chunk_length: 500
|
73 |
+
chunk_shift_ratio: 0.5
|
74 |
+
num_cache_chunks: 1024
|
75 |
+
train_data_path_and_name_and_type:
|
76 |
+
- - dump/raw/tr_no_dev/text
|
77 |
+
- text
|
78 |
+
- text
|
79 |
+
- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/tr_no_dev/durations
|
80 |
+
- durations
|
81 |
+
- text_int
|
82 |
+
- - dump/raw/tr_no_dev/wav.scp
|
83 |
+
- speech
|
84 |
+
- sound
|
85 |
+
- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/collect_feats/pitch.scp
|
86 |
+
- pitch
|
87 |
+
- npy
|
88 |
+
- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/collect_feats/energy.scp
|
89 |
+
- energy
|
90 |
+
- npy
|
91 |
+
valid_data_path_and_name_and_type:
|
92 |
+
- - dump/raw/dev/text
|
93 |
+
- text
|
94 |
+
- text
|
95 |
+
- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/dev/durations
|
96 |
+
- durations
|
97 |
+
- text_int
|
98 |
+
- - dump/raw/dev/wav.scp
|
99 |
+
- speech
|
100 |
+
- sound
|
101 |
+
- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/collect_feats/pitch.scp
|
102 |
+
- pitch
|
103 |
+
- npy
|
104 |
+
- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/collect_feats/energy.scp
|
105 |
+
- energy
|
106 |
+
- npy
|
107 |
+
allow_variable_data_keys: false
|
108 |
+
max_cache_size: 0.0
|
109 |
+
valid_max_cache_size: null
|
110 |
+
optim: adam
|
111 |
+
optim_conf:
|
112 |
+
lr: 1.0
|
113 |
+
scheduler: noamlr
|
114 |
+
scheduler_conf:
|
115 |
+
model_size: 384
|
116 |
+
warmup_steps: 4000
|
117 |
+
token_list:
|
118 |
+
- <blank>
|
119 |
+
- <unk>
|
120 |
+
- "\uFF30"
|
121 |
+
- "\uFF22"
|
122 |
+
- "\xFC"
|
123 |
+
- an
|
124 |
+
- ueng3
|
125 |
+
- '2'
|
126 |
+
- uen
|
127 |
+
- ei
|
128 |
+
- ua
|
129 |
+
- ao
|
130 |
+
- u
|
131 |
+
- ueng4
|
132 |
+
- uo
|
133 |
+
- ang
|
134 |
+
- ou
|
135 |
+
- v2
|
136 |
+
- ueng1
|
137 |
+
- o
|
138 |
+
- io1
|
139 |
+
- "\xFCn3"
|
140 |
+
- er
|
141 |
+
- ve4
|
142 |
+
- o3
|
143 |
+
- uai2
|
144 |
+
- uen3
|
145 |
+
- uen1
|
146 |
+
- uai3
|
147 |
+
- "\xFCe3"
|
148 |
+
- iou1
|
149 |
+
- iong2
|
150 |
+
- ia2
|
151 |
+
- uai1
|
152 |
+
- iong1
|
153 |
+
- "\xFCan1"
|
154 |
+
- "\xFCe1"
|
155 |
+
- v4
|
156 |
+
- ua3
|
157 |
+
- ia
|
158 |
+
- iong3
|
159 |
+
- uei3
|
160 |
+
- ua2
|
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|
162 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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- "\xFCn4"
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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odim: null
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model_conf: {}
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bpemodel: null
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non_linguistic_symbols: null
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cleaner: null
|
332 |
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g2p: pypinyin_g2p_phone
|
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|
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feats_extract_conf:
|
335 |
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|
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|
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|
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|
341 |
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win_length: 1200
|
342 |
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normalize: global_mvn
|
343 |
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normalize_conf:
|
344 |
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stats_file: exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/feats_stats.npz
|
345 |
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tts: fastspeech2
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positionwise_layer_type: conv1d
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|
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reduction_factor: 1
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366 |
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init_type: xavier_uniform
|
367 |
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init_enc_alpha: 1.0
|
368 |
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init_dec_alpha: 1.0
|
369 |
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transformer_enc_dropout_rate: 0.2
|
370 |
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transformer_enc_positional_dropout_rate: 0.2
|
371 |
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transformer_enc_attn_dropout_rate: 0.2
|
372 |
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transformer_dec_dropout_rate: 0.2
|
373 |
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transformer_dec_positional_dropout_rate: 0.2
|
374 |
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transformer_dec_attn_dropout_rate: 0.2
|
375 |
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pitch_predictor_layers: 5
|
376 |
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pitch_predictor_chans: 256
|
377 |
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pitch_predictor_kernel_size: 5
|
378 |
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pitch_predictor_dropout: 0.5
|
379 |
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pitch_embed_kernel_size: 1
|
380 |
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pitch_embed_dropout: 0.0
|
381 |
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stop_gradient_from_pitch_predictor: true
|
382 |
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energy_predictor_layers: 2
|
383 |
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energy_predictor_chans: 256
|
384 |
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energy_predictor_kernel_size: 3
|
385 |
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energy_predictor_dropout: 0.5
|
386 |
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energy_embed_kernel_size: 1
|
387 |
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energy_embed_dropout: 0.0
|
388 |
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stop_gradient_from_energy_predictor: false
|
389 |
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pitch_extract: dio
|
390 |
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pitch_extract_conf:
|
391 |
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fs: 24000
|
392 |
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n_fft: 2048
|
393 |
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hop_length: 300
|
394 |
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f0max: 400
|
395 |
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f0min: 80
|
396 |
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pitch_normalize: global_mvn
|
397 |
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pitch_normalize_conf:
|
398 |
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stats_file: exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/pitch_stats.npz
|
399 |
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energy_extract: energy
|
400 |
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energy_extract_conf:
|
401 |
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fs: 24000
|
402 |
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n_fft: 2048
|
403 |
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hop_length: 300
|
404 |
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win_length: 1200
|
405 |
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energy_normalize: global_mvn
|
406 |
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energy_normalize_conf:
|
407 |
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stats_file: exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/energy_stats.npz
|
408 |
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required:
|
409 |
+
- output_dir
|
410 |
+
- token_list
|
411 |
+
distributed: false
|
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/backward_time.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/decoder_alpha.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/duration_loss.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/encoder_alpha.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/energy_loss.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/forward_time.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/iter_time.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/l1_loss.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/loss.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/lr_0.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/optim_step_time.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/pitch_loss.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/images/train_time.png
ADDED
exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/train.loss.ave_5best.pth
ADDED
@@ -0,0 +1,3 @@
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size 149081991
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Binary file (770 Bytes). View file
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exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/feats_stats.npz
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Binary file (1.4 kB). View file
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exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/pitch_stats.npz
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Binary file (770 Bytes). View file
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meta.yaml
ADDED
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1 |
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espnet: 0.8.0
|
2 |
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files:
|
3 |
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model_file: exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/train.loss.ave_5best.pth
|
4 |
+
python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]"
|
5 |
+
timestamp: 1600227485.022874
|
6 |
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torch: 1.6.0
|
7 |
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yaml_files:
|
8 |
+
train_config: exp/tts_train_fastspeech2_raw_phn_pypinyin_g2p_phone/config.yaml
|