import from zenodo
Browse files- README.md +50 -0
- dump/xvector/dev/spk_xvector.ark +0 -0
- dump/xvector/dev/spk_xvector.scp +96 -0
- dump/xvector/eval1/spk_xvector.ark +0 -0
- dump/xvector/eval1/spk_xvector.scp +81 -0
- dump/xvector/tr_no_dev/spk_xvector.ark +0 -0
- dump/xvector/tr_no_dev/spk_xvector.scp +0 -0
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/config.yaml +277 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/backward_time.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/bce_loss.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/decoder_alpha.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/enc_dec_attn_loss.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/encoder_alpha.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/forward_time.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/iter_time.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/l1_loss.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/l2_loss.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/loss.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/lr_0.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/optim_step_time.png +0 -0
- exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/train_time.png +0 -0
- exp/tts_train_xvector_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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- libritts
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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/libritts_xvector_trasnformer`
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♻️ Imported from https://zenodo.org/record/4409704/
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This model was trained by kan-bayashi using libritts/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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dump/xvector/dev/spk_xvector.ark
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dump/xvector/dev/spk_xvector.scp
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dump/xvector/eval1/spk_xvector.ark
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|
35 |
+
4446_2271 dump/xvector/eval1/spk_xvector.ark:70354
|
36 |
+
4446_2273 dump/xvector/eval1/spk_xvector.ark:72422
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+
4446_2275 dump/xvector/eval1/spk_xvector.ark:74490
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+
4507_16021 dump/xvector/eval1/spk_xvector.ark:76559
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+
4970_29093 dump/xvector/eval1/spk_xvector.ark:78628
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+
4970_29095 dump/xvector/eval1/spk_xvector.ark:80697
|
41 |
+
4992_23283 dump/xvector/eval1/spk_xvector.ark:82766
|
42 |
+
4992_41797 dump/xvector/eval1/spk_xvector.ark:84835
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+
4992_41806 dump/xvector/eval1/spk_xvector.ark:86904
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44 |
+
5105_28233 dump/xvector/eval1/spk_xvector.ark:88973
|
45 |
+
5105_28240 dump/xvector/eval1/spk_xvector.ark:91042
|
46 |
+
5105_28241 dump/xvector/eval1/spk_xvector.ark:93111
|
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+
5142_33396 dump/xvector/eval1/spk_xvector.ark:95180
|
48 |
+
5142_36377 dump/xvector/eval1/spk_xvector.ark:97249
|
49 |
+
5142_36586 dump/xvector/eval1/spk_xvector.ark:99318
|
50 |
+
5142_36600 dump/xvector/eval1/spk_xvector.ark:101387
|
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+
5639_40744 dump/xvector/eval1/spk_xvector.ark:103456
|
52 |
+
5683_32865 dump/xvector/eval1/spk_xvector.ark:105525
|
53 |
+
5683_32866 dump/xvector/eval1/spk_xvector.ark:107594
|
54 |
+
5683_32879 dump/xvector/eval1/spk_xvector.ark:109663
|
55 |
+
61_70970 dump/xvector/eval1/spk_xvector.ark:111730
|
56 |
+
672_122797 dump/xvector/eval1/spk_xvector.ark:113799
|
57 |
+
6829_68769 dump/xvector/eval1/spk_xvector.ark:115868
|
58 |
+
6829_68771 dump/xvector/eval1/spk_xvector.ark:117937
|
59 |
+
6930_75918 dump/xvector/eval1/spk_xvector.ark:120006
|
60 |
+
6930_76324 dump/xvector/eval1/spk_xvector.ark:122075
|
61 |
+
6930_81414 dump/xvector/eval1/spk_xvector.ark:124144
|
62 |
+
7021_79730 dump/xvector/eval1/spk_xvector.ark:126213
|
63 |
+
7021_79740 dump/xvector/eval1/spk_xvector.ark:128282
|
64 |
+
7021_79759 dump/xvector/eval1/spk_xvector.ark:130351
|
65 |
+
7021_85628 dump/xvector/eval1/spk_xvector.ark:132420
|
66 |
+
7127_75946 dump/xvector/eval1/spk_xvector.ark:134489
|
67 |
+
7127_75947 dump/xvector/eval1/spk_xvector.ark:136558
|
68 |
+
7176_88083 dump/xvector/eval1/spk_xvector.ark:138627
|
69 |
+
7176_92135 dump/xvector/eval1/spk_xvector.ark:140696
|
70 |
+
7729_102255 dump/xvector/eval1/spk_xvector.ark:142766
|
71 |
+
8224_274384 dump/xvector/eval1/spk_xvector.ark:144836
|
72 |
+
8230_279154 dump/xvector/eval1/spk_xvector.ark:146906
|
73 |
+
8455_210777 dump/xvector/eval1/spk_xvector.ark:148976
|
74 |
+
8463_287645 dump/xvector/eval1/spk_xvector.ark:151046
|
75 |
+
8463_294825 dump/xvector/eval1/spk_xvector.ark:153116
|
76 |
+
8463_294828 dump/xvector/eval1/spk_xvector.ark:155186
|
77 |
+
8555_284447 dump/xvector/eval1/spk_xvector.ark:157256
|
78 |
+
8555_284449 dump/xvector/eval1/spk_xvector.ark:159326
|
79 |
+
8555_292519 dump/xvector/eval1/spk_xvector.ark:161396
|
80 |
+
908_157963 dump/xvector/eval1/spk_xvector.ark:163465
|
81 |
+
908_31957 dump/xvector/eval1/spk_xvector.ark:165533
|
dump/xvector/tr_no_dev/spk_xvector.ark
ADDED
Binary file (5.3 MB). View file
|
|
dump/xvector/tr_no_dev/spk_xvector.scp
ADDED
The diff for this file is too large to render.
See raw diff
|
|
exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz
ADDED
Binary file (1.4 kB). View file
|
|
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/config.yaml
ADDED
@@ -0,0 +1,277 @@
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|
1 |
+
config: conf/tuning/train_xvector_transformer.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space
|
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: 42072
|
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: 1000
|
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: 2
|
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 |
+
num_iters_per_epoch: 1000
|
60 |
+
batch_size: 20
|
61 |
+
valid_batch_size: null
|
62 |
+
batch_bins: 9000000
|
63 |
+
valid_batch_bins: null
|
64 |
+
train_shape_file:
|
65 |
+
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/text_shape.phn
|
66 |
+
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/speech_shape
|
67 |
+
valid_shape_file:
|
68 |
+
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/text_shape.phn
|
69 |
+
- exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/valid/speech_shape
|
70 |
+
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 |
+
- - dump/raw/tr_no_dev/wav.scp
|
86 |
+
- speech
|
87 |
+
- sound
|
88 |
+
- - dump/xvector/tr_no_dev/xvector.scp
|
89 |
+
- spembs
|
90 |
+
- kaldi_ark
|
91 |
+
valid_data_path_and_name_and_type:
|
92 |
+
- - dump/raw/dev/text
|
93 |
+
- text
|
94 |
+
- text
|
95 |
+
- - dump/raw/dev/wav.scp
|
96 |
+
- speech
|
97 |
+
- sound
|
98 |
+
- - dump/xvector/dev/xvector.scp
|
99 |
+
- spembs
|
100 |
+
- kaldi_ark
|
101 |
+
allow_variable_data_keys: false
|
102 |
+
max_cache_size: 0.0
|
103 |
+
max_cache_fd: 32
|
104 |
+
valid_max_cache_size: null
|
105 |
+
optim: adam
|
106 |
+
optim_conf:
|
107 |
+
lr: 1.0
|
108 |
+
scheduler: noamlr
|
109 |
+
scheduler_conf:
|
110 |
+
model_size: 512
|
111 |
+
warmup_steps: 12000
|
112 |
+
token_list:
|
113 |
+
- <blank>
|
114 |
+
- <unk>
|
115 |
+
- AH0
|
116 |
+
- T
|
117 |
+
- N
|
118 |
+
- D
|
119 |
+
- S
|
120 |
+
- R
|
121 |
+
- L
|
122 |
+
- IH1
|
123 |
+
- DH
|
124 |
+
- M
|
125 |
+
- K
|
126 |
+
- Z
|
127 |
+
- EH1
|
128 |
+
- AE1
|
129 |
+
- IH0
|
130 |
+
- AH1
|
131 |
+
- W
|
132 |
+
- ','
|
133 |
+
- HH
|
134 |
+
- ER0
|
135 |
+
- P
|
136 |
+
- IY1
|
137 |
+
- V
|
138 |
+
- F
|
139 |
+
- B
|
140 |
+
- UW1
|
141 |
+
- AA1
|
142 |
+
- AY1
|
143 |
+
- AO1
|
144 |
+
- .
|
145 |
+
- EY1
|
146 |
+
- IY0
|
147 |
+
- OW1
|
148 |
+
- NG
|
149 |
+
- G
|
150 |
+
- SH
|
151 |
+
- Y
|
152 |
+
- AW1
|
153 |
+
- CH
|
154 |
+
- ER1
|
155 |
+
- UH1
|
156 |
+
- TH
|
157 |
+
- JH
|
158 |
+
- ''''
|
159 |
+
- '?'
|
160 |
+
- OW0
|
161 |
+
- EH2
|
162 |
+
- '!'
|
163 |
+
- IH2
|
164 |
+
- OY1
|
165 |
+
- EY2
|
166 |
+
- AY2
|
167 |
+
- EH0
|
168 |
+
- UW0
|
169 |
+
- AA2
|
170 |
+
- AE2
|
171 |
+
- OW2
|
172 |
+
- AO2
|
173 |
+
- AE0
|
174 |
+
- AH2
|
175 |
+
- ZH
|
176 |
+
- AA0
|
177 |
+
- UW2
|
178 |
+
- IY2
|
179 |
+
- AY0
|
180 |
+
- AO0
|
181 |
+
- AW2
|
182 |
+
- EY0
|
183 |
+
- UH2
|
184 |
+
- ER2
|
185 |
+
- AW0
|
186 |
+
- '...'
|
187 |
+
- UH0
|
188 |
+
- OY2
|
189 |
+
- . . .
|
190 |
+
- OY0
|
191 |
+
- . . . .
|
192 |
+
- ..
|
193 |
+
- . ...
|
194 |
+
- . .
|
195 |
+
- . . . . .
|
196 |
+
- .. ..
|
197 |
+
- '... .'
|
198 |
+
- <sos/eos>
|
199 |
+
odim: null
|
200 |
+
model_conf: {}
|
201 |
+
use_preprocessor: true
|
202 |
+
token_type: phn
|
203 |
+
bpemodel: null
|
204 |
+
non_linguistic_symbols: null
|
205 |
+
cleaner: tacotron
|
206 |
+
g2p: g2p_en_no_space
|
207 |
+
feats_extract: fbank
|
208 |
+
feats_extract_conf:
|
209 |
+
fs: 24000
|
210 |
+
fmin: 80
|
211 |
+
fmax: 7600
|
212 |
+
n_mels: 80
|
213 |
+
hop_length: 300
|
214 |
+
n_fft: 2048
|
215 |
+
win_length: 1200
|
216 |
+
normalize: global_mvn
|
217 |
+
normalize_conf:
|
218 |
+
stats_file: exp/tts_stats_raw_phn_tacotron_g2p_en_no_space/train/feats_stats.npz
|
219 |
+
tts: transformer
|
220 |
+
tts_conf:
|
221 |
+
embed_dim: 0
|
222 |
+
eprenet_conv_layers: 0
|
223 |
+
eprenet_conv_filts: 0
|
224 |
+
eprenet_conv_chans: 0
|
225 |
+
dprenet_layers: 2
|
226 |
+
dprenet_units: 256
|
227 |
+
adim: 512
|
228 |
+
aheads: 8
|
229 |
+
elayers: 6
|
230 |
+
eunits: 1024
|
231 |
+
dlayers: 6
|
232 |
+
dunits: 1024
|
233 |
+
positionwise_layer_type: conv1d
|
234 |
+
positionwise_conv_kernel_size: 1
|
235 |
+
postnet_layers: 5
|
236 |
+
postnet_filts: 5
|
237 |
+
postnet_chans: 256
|
238 |
+
spk_embed_dim: 512
|
239 |
+
spk_embed_integration_type: add
|
240 |
+
use_masking: true
|
241 |
+
bce_pos_weight: 5.0
|
242 |
+
use_scaled_pos_enc: true
|
243 |
+
encoder_normalize_before: true
|
244 |
+
decoder_normalize_before: true
|
245 |
+
reduction_factor: 1
|
246 |
+
init_type: xavier_uniform
|
247 |
+
init_enc_alpha: 1.0
|
248 |
+
init_dec_alpha: 1.0
|
249 |
+
eprenet_dropout_rate: 0.0
|
250 |
+
dprenet_dropout_rate: 0.5
|
251 |
+
postnet_dropout_rate: 0.5
|
252 |
+
transformer_enc_dropout_rate: 0.1
|
253 |
+
transformer_enc_positional_dropout_rate: 0.1
|
254 |
+
transformer_enc_attn_dropout_rate: 0.1
|
255 |
+
transformer_dec_dropout_rate: 0.1
|
256 |
+
transformer_dec_positional_dropout_rate: 0.1
|
257 |
+
transformer_dec_attn_dropout_rate: 0.1
|
258 |
+
transformer_enc_dec_attn_dropout_rate: 0.1
|
259 |
+
use_guided_attn_loss: true
|
260 |
+
num_heads_applied_guided_attn: 2
|
261 |
+
num_layers_applied_guided_attn: 2
|
262 |
+
modules_applied_guided_attn:
|
263 |
+
- encoder-decoder
|
264 |
+
guided_attn_loss_sigma: 0.4
|
265 |
+
guided_attn_loss_lambda: 10.0
|
266 |
+
pitch_extract: null
|
267 |
+
pitch_extract_conf: {}
|
268 |
+
pitch_normalize: null
|
269 |
+
pitch_normalize_conf: {}
|
270 |
+
energy_extract: null
|
271 |
+
energy_extract_conf: {}
|
272 |
+
energy_normalize: null
|
273 |
+
energy_normalize_conf: {}
|
274 |
+
required:
|
275 |
+
- output_dir
|
276 |
+
- token_list
|
277 |
+
distributed: true
|
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/backward_time.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/bce_loss.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/decoder_alpha.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/enc_dec_attn_loss.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/encoder_alpha.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/forward_time.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/iter_time.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/l1_loss.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/l2_loss.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/loss.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/lr_0.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/optim_step_time.png
ADDED
exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/images/train_time.png
ADDED
exp/tts_train_xvector_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
|
2 |
+
oid sha256:e44eb713e1804ddda628edebf79ebde0bd02d127603c831b9f06df19b3cb5658
|
3 |
+
size 133611615
|
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
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|
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|
|
|
|
|
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|
1 |
+
espnet: 0.8.0
|
2 |
+
files:
|
3 |
+
model_file: exp/tts_train_xvector_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: 1609589120.483584
|
6 |
+
torch: 1.5.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/tts_train_xvector_transformer_raw_phn_tacotron_g2p_en_no_space/config.yaml
|