import from zenodo
Browse files- README.md +50 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/config.yaml +297 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/backward_time.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/decoder_alpha.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/duration_loss.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/encoder_alpha.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/energy_loss.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/forward_time.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/iter_time.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/l1_loss.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/loss.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/lr_0.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/optim_step_time.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/pitch_loss.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/train_time.png +0 -0
- exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/train.loss.ave_5best.pth +3 -0
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/energy_stats.npz +0 -0
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/feats_stats.npz +0 -0
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/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: ja
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datasets:
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- jsut
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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/jsut_fastspeech2_accent`
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♻️ Imported from https://zenodo.org/record/4381100/
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This model was trained by kan-bayashi using jsut/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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42 |
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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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45 |
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year={2018},
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46 |
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eprint={1804.00015},
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47 |
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archivePrefix={arXiv},
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48 |
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primaryClass={cs.CL}
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49 |
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}
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```
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exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/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_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent
|
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: 4
|
14 |
+
dist_rank: 0
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: localhost
|
17 |
+
dist_master_port: 55835
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: true
|
20 |
+
cudnn_enabled: true
|
21 |
+
cudnn_benchmark: false
|
22 |
+
cudnn_deterministic: true
|
23 |
+
collect_stats: false
|
24 |
+
write_collected_feats: false
|
25 |
+
max_epoch: 200
|
26 |
+
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 |
+
accum_grad: 1
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
+
train_dtype: float32
|
49 |
+
use_amp: false
|
50 |
+
log_interval: null
|
51 |
+
unused_parameters: false
|
52 |
+
use_tensorboard: true
|
53 |
+
use_wandb: false
|
54 |
+
wandb_project: null
|
55 |
+
wandb_id: null
|
56 |
+
pretrain_path: null
|
57 |
+
init_param: []
|
58 |
+
freeze_param: []
|
59 |
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num_iters_per_epoch: 500
|
60 |
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batch_size: 20
|
61 |
+
valid_batch_size: null
|
62 |
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batch_bins: 18000000
|
63 |
+
valid_batch_bins: null
|
64 |
+
train_shape_file:
|
65 |
+
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/text_shape.phn
|
66 |
+
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/speech_shape
|
67 |
+
valid_shape_file:
|
68 |
+
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/text_shape.phn
|
69 |
+
- exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/speech_shape
|
70 |
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batch_type: numel
|
71 |
+
valid_batch_type: null
|
72 |
+
fold_length:
|
73 |
+
- 150
|
74 |
+
- 240000
|
75 |
+
sort_in_batch: descending
|
76 |
+
sort_batch: descending
|
77 |
+
multiple_iterator: false
|
78 |
+
chunk_length: 500
|
79 |
+
chunk_shift_ratio: 0.5
|
80 |
+
num_cache_chunks: 1024
|
81 |
+
train_data_path_and_name_and_type:
|
82 |
+
- - dump/raw/tr_no_dev/text
|
83 |
+
- text
|
84 |
+
- text
|
85 |
+
- - exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/tr_no_dev/durations
|
86 |
+
- durations
|
87 |
+
- text_int
|
88 |
+
- - dump/raw/tr_no_dev/wav.scp
|
89 |
+
- speech
|
90 |
+
- sound
|
91 |
+
- - exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/collect_feats/pitch.scp
|
92 |
+
- pitch
|
93 |
+
- npy
|
94 |
+
- - exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/collect_feats/energy.scp
|
95 |
+
- energy
|
96 |
+
- npy
|
97 |
+
valid_data_path_and_name_and_type:
|
98 |
+
- - dump/raw/dev/text
|
99 |
+
- text
|
100 |
+
- text
|
101 |
+
- - exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/dev/durations
|
102 |
+
- durations
|
103 |
+
- text_int
|
104 |
+
- - dump/raw/dev/wav.scp
|
105 |
+
- speech
|
106 |
+
- sound
|
107 |
+
- - exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/collect_feats/pitch.scp
|
108 |
+
- pitch
|
109 |
+
- npy
|
110 |
+
- - exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/collect_feats/energy.scp
|
111 |
+
- energy
|
112 |
+
- npy
|
113 |
+
allow_variable_data_keys: false
|
114 |
+
max_cache_size: 0.0
|
115 |
+
max_cache_fd: 32
|
116 |
+
valid_max_cache_size: null
|
117 |
+
optim: adam
|
118 |
+
optim_conf:
|
119 |
+
lr: 1.0
|
120 |
+
scheduler: noamlr
|
121 |
+
scheduler_conf:
|
122 |
+
model_size: 384
|
123 |
+
warmup_steps: 4000
|
124 |
+
token_list:
|
125 |
+
- <blank>
|
126 |
+
- <unk>
|
127 |
+
- '1'
|
128 |
+
- '2'
|
129 |
+
- '0'
|
130 |
+
- '3'
|
131 |
+
- '4'
|
132 |
+
- '-1'
|
133 |
+
- '5'
|
134 |
+
- a
|
135 |
+
- o
|
136 |
+
- '-2'
|
137 |
+
- i
|
138 |
+
- '-3'
|
139 |
+
- u
|
140 |
+
- e
|
141 |
+
- k
|
142 |
+
- n
|
143 |
+
- t
|
144 |
+
- '6'
|
145 |
+
- r
|
146 |
+
- '-4'
|
147 |
+
- s
|
148 |
+
- N
|
149 |
+
- m
|
150 |
+
- '7'
|
151 |
+
- sh
|
152 |
+
- d
|
153 |
+
- g
|
154 |
+
- w
|
155 |
+
- '8'
|
156 |
+
- U
|
157 |
+
- '-5'
|
158 |
+
- I
|
159 |
+
- cl
|
160 |
+
- h
|
161 |
+
- y
|
162 |
+
- b
|
163 |
+
- '9'
|
164 |
+
- j
|
165 |
+
- ts
|
166 |
+
- ch
|
167 |
+
- '-6'
|
168 |
+
- z
|
169 |
+
- p
|
170 |
+
- '-7'
|
171 |
+
- f
|
172 |
+
- ky
|
173 |
+
- ry
|
174 |
+
- '-8'
|
175 |
+
- gy
|
176 |
+
- '-9'
|
177 |
+
- hy
|
178 |
+
- ny
|
179 |
+
- '-10'
|
180 |
+
- by
|
181 |
+
- my
|
182 |
+
- '-11'
|
183 |
+
- '-12'
|
184 |
+
- '-13'
|
185 |
+
- py
|
186 |
+
- '-14'
|
187 |
+
- '-15'
|
188 |
+
- v
|
189 |
+
- '10'
|
190 |
+
- '-16'
|
191 |
+
- '-17'
|
192 |
+
- '11'
|
193 |
+
- '-21'
|
194 |
+
- '-20'
|
195 |
+
- '12'
|
196 |
+
- '-19'
|
197 |
+
- '13'
|
198 |
+
- '-18'
|
199 |
+
- '14'
|
200 |
+
- dy
|
201 |
+
- '15'
|
202 |
+
- ty
|
203 |
+
- '-22'
|
204 |
+
- '16'
|
205 |
+
- '18'
|
206 |
+
- '19'
|
207 |
+
- '17'
|
208 |
+
- <sos/eos>
|
209 |
+
odim: null
|
210 |
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model_conf: {}
|
211 |
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|
212 |
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token_type: phn
|
213 |
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bpemodel: null
|
214 |
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non_linguistic_symbols: null
|
215 |
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cleaner: jaconv
|
216 |
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g2p: pyopenjtalk_accent
|
217 |
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feats_extract: fbank
|
218 |
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feats_extract_conf:
|
219 |
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fs: 24000
|
220 |
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fmin: 80
|
221 |
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fmax: 7600
|
222 |
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n_mels: 80
|
223 |
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hop_length: 300
|
224 |
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n_fft: 2048
|
225 |
+
win_length: 1200
|
226 |
+
normalize: global_mvn
|
227 |
+
normalize_conf:
|
228 |
+
stats_file: exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/feats_stats.npz
|
229 |
+
tts: fastspeech2
|
230 |
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tts_conf:
|
231 |
+
adim: 384
|
232 |
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aheads: 2
|
233 |
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elayers: 4
|
234 |
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eunits: 1536
|
235 |
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dlayers: 4
|
236 |
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dunits: 1536
|
237 |
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positionwise_layer_type: conv1d
|
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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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encoder_normalize_before: true
|
248 |
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decoder_normalize_before: true
|
249 |
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reduction_factor: 1
|
250 |
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init_type: xavier_uniform
|
251 |
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init_enc_alpha: 1.0
|
252 |
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init_dec_alpha: 1.0
|
253 |
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transformer_enc_dropout_rate: 0.2
|
254 |
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transformer_enc_positional_dropout_rate: 0.2
|
255 |
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transformer_enc_attn_dropout_rate: 0.2
|
256 |
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transformer_dec_dropout_rate: 0.2
|
257 |
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transformer_dec_positional_dropout_rate: 0.2
|
258 |
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transformer_dec_attn_dropout_rate: 0.2
|
259 |
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pitch_predictor_layers: 5
|
260 |
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pitch_predictor_chans: 256
|
261 |
+
pitch_predictor_kernel_size: 5
|
262 |
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pitch_predictor_dropout: 0.5
|
263 |
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pitch_embed_kernel_size: 1
|
264 |
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pitch_embed_dropout: 0.0
|
265 |
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stop_gradient_from_pitch_predictor: true
|
266 |
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energy_predictor_layers: 2
|
267 |
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energy_predictor_chans: 256
|
268 |
+
energy_predictor_kernel_size: 3
|
269 |
+
energy_predictor_dropout: 0.5
|
270 |
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energy_embed_kernel_size: 1
|
271 |
+
energy_embed_dropout: 0.0
|
272 |
+
stop_gradient_from_energy_predictor: false
|
273 |
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pitch_extract: dio
|
274 |
+
pitch_extract_conf:
|
275 |
+
fs: 24000
|
276 |
+
n_fft: 2048
|
277 |
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hop_length: 300
|
278 |
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f0max: 400
|
279 |
+
f0min: 80
|
280 |
+
reduction_factor: 1
|
281 |
+
pitch_normalize: global_mvn
|
282 |
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pitch_normalize_conf:
|
283 |
+
stats_file: exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/pitch_stats.npz
|
284 |
+
energy_extract: energy
|
285 |
+
energy_extract_conf:
|
286 |
+
fs: 24000
|
287 |
+
n_fft: 2048
|
288 |
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hop_length: 300
|
289 |
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win_length: 1200
|
290 |
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reduction_factor: 1
|
291 |
+
energy_normalize: global_mvn
|
292 |
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energy_normalize_conf:
|
293 |
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stats_file: exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/energy_stats.npz
|
294 |
+
required:
|
295 |
+
- output_dir
|
296 |
+
- token_list
|
297 |
+
distributed: true
|
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/backward_time.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/decoder_alpha.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/duration_loss.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/encoder_alpha.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/energy_loss.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/forward_time.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/iter_time.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/l1_loss.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/loss.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/lr_0.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/optim_step_time.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/pitch_loss.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/images/train_time.png
ADDED
exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/train.loss.ave_5best.pth
ADDED
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size 148862757
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Binary file (770 Bytes). View file
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exp/tts_train_tacotron2_raw_phn_jaconv_pyopenjtalk_accent/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/feats_stats.npz
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Binary file (1.4 kB). View file
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meta.yaml
ADDED
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espnet: 0.8.0
|
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files:
|
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model_file: exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/train.loss.ave_5best.pth
|
4 |
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python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]"
|
5 |
+
timestamp: 1608519920.243737
|
6 |
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torch: 1.5.1
|
7 |
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yaml_files:
|
8 |
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train_config: exp/tts_train_fastspeech2_tacotron2_teacher_raw_phn_jaconv_pyopenjtalk_accent/config.yaml
|