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espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone

Text-to-Speech
ESPnet
Chinese
audio
Model card Files Community
Winnie Chang commited on
Commit
af91e0f
•
1 Parent(s): f2300f2

Update model

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Files changed (32) hide show
  1. README.md +581 -0
  2. dump/22k/xvector/dev/spk_xvector.ark +0 -0
  3. dump/22k/xvector/dev/spk_xvector.scp +141 -0
  4. dump/22k/xvector/test/spk_xvector.ark +0 -0
  5. dump/22k/xvector/test/spk_xvector.scp +214 -0
  6. dump/22k/xvector/train_no_dev/spk_xvector.ark +0 -0
  7. dump/22k/xvector/train_no_dev/spk_xvector.scp +174 -0
  8. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/600epoch.pth +3 -0
  9. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/config.yaml +500 -0
  10. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_backward_time.png +0 -0
  11. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_fake_loss.png +0 -0
  12. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_forward_time.png +0 -0
  13. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_loss.png +0 -0
  14. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_optim_step_time.png +0 -0
  15. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_real_loss.png +0 -0
  16. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_train_time.png +0 -0
  17. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_adv_loss.png +0 -0
  18. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_backward_time.png +0 -0
  19. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_dur_loss.png +0 -0
  20. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_feat_match_loss.png +0 -0
  21. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_forward_time.png +0 -0
  22. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_kl_loss.png +0 -0
  23. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_loss.png +0 -0
  24. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_mel_loss.png +0 -0
  25. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_optim_step_time.png +0 -0
  26. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_train_time.png +0 -0
  27. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/gpu_max_cached_mem_GB.png +0 -0
  28. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/iter_time.png +0 -0
  29. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/optim0_lr0.png +0 -0
  30. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/optim1_lr0.png +0 -0
  31. exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/train_time.png +0 -0
  32. meta.yaml +8 -0
README.md ADDED
@@ -0,0 +1,581 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - espnet
4
+ - audio
5
+ - text-to-speech
6
+ language: zh
7
+ datasets:
8
+ - aishell3
9
+ license: cc-by-4.0
10
+ ---
11
+
12
+ ## ESPnet2 TTS model
13
+
14
+ ### `winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone`
15
+
16
+ This model was trained by winniech using aishell3 recipe in [espnet](https://github.com/espnet/espnet/).
17
+
18
+ ### Demo: How to use in ESPnet2
19
+
20
+ Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
21
+ if you haven't done that already.
22
+
23
+ ```bash
24
+ cd espnet
25
+ git checkout b80a57dd08db255750fa5518eaa86925c5fb6b87
26
+ pip install -e .
27
+ cd egs2/aishell3/tts1
28
+ ./run.sh --skip_data_prep false --skip_train true --download_model winniech/espnet2_pretrained_aishell3_vits_tts_train_raw_phn_pypinyin_g2p_phone
29
+ ```
30
+
31
+
32
+
33
+ ## TTS config
34
+
35
+ <details><summary>expand</summary>
36
+
37
+ ```
38
+ config: conf/train.yaml
39
+ print_config: false
40
+ log_level: INFO
41
+ dry_run: false
42
+ iterator_type: sequence
43
+ output_dir: exp/22k/tts_train_raw_phn_pypinyin_g2p_phone
44
+ ngpu: 1
45
+ seed: 777
46
+ num_workers: 4
47
+ num_att_plot: 3
48
+ dist_backend: nccl
49
+ dist_init_method: env://
50
+ dist_world_size: null
51
+ dist_rank: null
52
+ local_rank: 0
53
+ dist_master_addr: null
54
+ dist_master_port: null
55
+ dist_launcher: null
56
+ multiprocessing_distributed: false
57
+ unused_parameters: true
58
+ sharded_ddp: false
59
+ cudnn_enabled: true
60
+ cudnn_benchmark: false
61
+ cudnn_deterministic: false
62
+ collect_stats: false
63
+ write_collected_feats: false
64
+ max_epoch: 1000
65
+ patience: null
66
+ val_scheduler_criterion:
67
+ - valid
68
+ - loss
69
+ early_stopping_criterion:
70
+ - valid
71
+ - loss
72
+ - min
73
+ best_model_criterion:
74
+ - - train
75
+ - total_count
76
+ - max
77
+ keep_nbest_models: 10
78
+ nbest_averaging_interval: 0
79
+ grad_clip: -1
80
+ grad_clip_type: 2.0
81
+ grad_noise: false
82
+ accum_grad: 1
83
+ no_forward_run: false
84
+ resume: true
85
+ train_dtype: float32
86
+ use_amp: false
87
+ log_interval: 50
88
+ use_matplotlib: true
89
+ use_tensorboard: true
90
+ create_graph_in_tensorboard: false
91
+ use_wandb: false
92
+ wandb_project: null
93
+ wandb_id: null
94
+ wandb_entity: null
95
+ wandb_name: null
96
+ wandb_model_log_interval: -1
97
+ detect_anomaly: false
98
+ pretrain_path: null
99
+ init_param: []
100
+ ignore_init_mismatch: false
101
+ freeze_param: []
102
+ num_iters_per_epoch: 1000
103
+ batch_size: 20
104
+ valid_batch_size: null
105
+ batch_bins: 1250000
106
+ valid_batch_bins: null
107
+ train_shape_file:
108
+ - exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/train/text_shape.phn
109
+ - exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/train/speech_shape
110
+ valid_shape_file:
111
+ - exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/valid/text_shape.phn
112
+ - exp/22k/tts_stats_raw_linear_spectrogram_phn_pypinyin_g2p_phone/valid/speech_shape
113
+ batch_type: numel
114
+ valid_batch_type: null
115
+ fold_length:
116
+ - 150
117
+ - 204800
118
+ sort_in_batch: descending
119
+ sort_batch: descending
120
+ multiple_iterator: false
121
+ chunk_length: 500
122
+ chunk_shift_ratio: 0.5
123
+ num_cache_chunks: 1024
124
+ chunk_excluded_key_prefixes: []
125
+ train_data_path_and_name_and_type:
126
+ - - dump/22k/raw/train_no_dev/text
127
+ - text
128
+ - text
129
+ - - dump/22k/raw/train_no_dev/wav.scp
130
+ - speech
131
+ - sound
132
+ - - dump/22k/xvector/train_no_dev/xvector.scp
133
+ - spembs
134
+ - kaldi_ark
135
+ valid_data_path_and_name_and_type:
136
+ - - dump/22k/raw/dev/text
137
+ - text
138
+ - text
139
+ - - dump/22k/raw/dev/wav.scp
140
+ - speech
141
+ - sound
142
+ - - dump/22k/xvector/dev/xvector.scp
143
+ - spembs
144
+ - kaldi_ark
145
+ allow_variable_data_keys: false
146
+ max_cache_size: 0.0
147
+ max_cache_fd: 32
148
+ valid_max_cache_size: null
149
+ exclude_weight_decay: false
150
+ exclude_weight_decay_conf: {}
151
+ optim: adamw
152
+ optim_conf:
153
+ lr: 0.0002
154
+ betas:
155
+ - 0.8
156
+ - 0.99
157
+ eps: 1.0e-09
158
+ weight_decay: 0.0
159
+ scheduler: exponentiallr
160
+ scheduler_conf:
161
+ gamma: 0.999875
162
+ optim2: adamw
163
+ optim2_conf:
164
+ lr: 0.0002
165
+ betas:
166
+ - 0.8
167
+ - 0.99
168
+ eps: 1.0e-09
169
+ weight_decay: 0.0
170
+ scheduler2: exponentiallr
171
+ scheduler2_conf:
172
+ gamma: 0.999875
173
+ generator_first: false
174
+ token_list:
175
+ - <blank>
176
+ - <unk>
177
+ - d
178
+ - sh
179
+ - j
180
+ - i4
181
+ - zh
182
+ - l
183
+ - x
184
+ - e
185
+ - b
186
+ - g
187
+ - i1
188
+ - h
189
+ - q
190
+ - m
191
+ - t
192
+ - i2
193
+ - u4
194
+ - z
195
+ - ch
196
+ - i3
197
+ - f
198
+ - s
199
+ - n
200
+ - iou3
201
+ - r
202
+ - ian4
203
+ - ong1
204
+ - uei4
205
+ - e4
206
+ - en2
207
+ - ai4
208
+ - k
209
+ - ing2
210
+ - a1
211
+ - uo3
212
+ - u3
213
+ - ao4
214
+ - p
215
+ - an1
216
+ - eng2
217
+ - e2
218
+ - in1
219
+ - c
220
+ - ai2
221
+ - an4
222
+ - ian2
223
+ - u2
224
+ - ang4
225
+ - ian1
226
+ - ai3
227
+ - ing1
228
+ - ao3
229
+ - uo4
230
+ - ian3
231
+ - ing4
232
+ - ü4
233
+ - ang1
234
+ - u1
235
+ - iao4
236
+ - eng1
237
+ - iou4
238
+ - a4
239
+ - üan2
240
+ - ie4
241
+ - ou4
242
+ - er4
243
+ - en1
244
+ - ong2
245
+ - e1
246
+ - an3
247
+ - ei4
248
+ - uo2
249
+ - ou3
250
+ - ang2
251
+ - iang4
252
+ - ou1
253
+ - ang3
254
+ - an2
255
+ - eng4
256
+ - ong4
257
+ - uan4
258
+ - a3
259
+ - ia4
260
+ - ia1
261
+ - iao1
262
+ - iang1
263
+ - iou2
264
+ - uo1
265
+ - ei3
266
+ - iao3
267
+ - in4
268
+ - e3
269
+ - ü3
270
+ - iang3
271
+ - uei2
272
+ - en3
273
+ - uan1
274
+ - ie3
275
+ - ao1
276
+ - ai1
277
+ - üe4
278
+ - ü2
279
+ - ing3
280
+ - en4
281
+ - uei1
282
+ - er2
283
+ - uan3
284
+ - ü1
285
+ - in3
286
+ - en
287
+ - üe2
288
+ - ie2
289
+ - ei2
290
+ - ua4
291
+ - uan2
292
+ - in2
293
+ - a2
294
+ - ie1
295
+ - iang2
296
+ - ou2
297
+ - ong3
298
+ - uang3
299
+ - eng3
300
+ - uen1
301
+ - uai4
302
+ - ün4
303
+ - uang4
304
+ - uei3
305
+ - uen2
306
+ - uen4
307
+ - i
308
+ - iong4
309
+ - v3
310
+ - iao2
311
+ - üan4
312
+ - uang1
313
+ - ei1
314
+ - o2
315
+ - iou1
316
+ - uang2
317
+ - a
318
+ - ao2
319
+ - o1
320
+ - ua2
321
+ - uen3
322
+ - ua1
323
+ - v4
324
+ - üan3
325
+ - ün1
326
+ - üe1
327
+ - ün2
328
+ - o4
329
+ - er3
330
+ - iong3
331
+ - üan1
332
+ - ia3
333
+ - ia2
334
+ - iong1
335
+ - üe3
336
+ - ve4
337
+ - iong2
338
+ - uai2
339
+ - er
340
+ - ua3
341
+ - uai1
342
+ - ou
343
+ - ün3
344
+ - uai3
345
+ - ia
346
+ - uo
347
+ - o3
348
+ - v2
349
+ - ueng1
350
+ - o
351
+ - ei
352
+ - ua
353
+ - io1
354
+ - <sos/eos>
355
+ odim: null
356
+ model_conf: {}
357
+ use_preprocessor: true
358
+ token_type: phn
359
+ bpemodel: null
360
+ non_linguistic_symbols: null
361
+ cleaner: null
362
+ g2p: pypinyin_g2p_phone
363
+ feats_extract: linear_spectrogram
364
+ feats_extract_conf:
365
+ n_fft: 1024
366
+ hop_length: 256
367
+ win_length: null
368
+ normalize: null
369
+ normalize_conf: {}
370
+ tts: vits
371
+ tts_conf:
372
+ generator_type: vits_generator
373
+ generator_params:
374
+ hidden_channels: 192
375
+ spks: -1
376
+ spk_embed_dim: 512
377
+ global_channels: 256
378
+ segment_size: 32
379
+ text_encoder_attention_heads: 2
380
+ text_encoder_ffn_expand: 4
381
+ text_encoder_blocks: 6
382
+ text_encoder_positionwise_layer_type: conv1d
383
+ text_encoder_positionwise_conv_kernel_size: 3
384
+ text_encoder_positional_encoding_layer_type: rel_pos
385
+ text_encoder_self_attention_layer_type: rel_selfattn
386
+ text_encoder_activation_type: swish
387
+ text_encoder_normalize_before: true
388
+ text_encoder_dropout_rate: 0.1
389
+ text_encoder_positional_dropout_rate: 0.0
390
+ text_encoder_attention_dropout_rate: 0.1
391
+ use_macaron_style_in_text_encoder: true
392
+ use_conformer_conv_in_text_encoder: false
393
+ text_encoder_conformer_kernel_size: -1
394
+ decoder_kernel_size: 7
395
+ decoder_channels: 512
396
+ decoder_upsample_scales:
397
+ - 8
398
+ - 8
399
+ - 2
400
+ - 2
401
+ decoder_upsample_kernel_sizes:
402
+ - 16
403
+ - 16
404
+ - 4
405
+ - 4
406
+ decoder_resblock_kernel_sizes:
407
+ - 3
408
+ - 7
409
+ - 11
410
+ decoder_resblock_dilations:
411
+ - - 1
412
+ - 3
413
+ - 5
414
+ - - 1
415
+ - 3
416
+ - 5
417
+ - - 1
418
+ - 3
419
+ - 5
420
+ use_weight_norm_in_decoder: true
421
+ posterior_encoder_kernel_size: 5
422
+ posterior_encoder_layers: 16
423
+ posterior_encoder_stacks: 1
424
+ posterior_encoder_base_dilation: 1
425
+ posterior_encoder_dropout_rate: 0.0
426
+ use_weight_norm_in_posterior_encoder: true
427
+ flow_flows: 4
428
+ flow_kernel_size: 5
429
+ flow_base_dilation: 1
430
+ flow_layers: 4
431
+ flow_dropout_rate: 0.0
432
+ use_weight_norm_in_flow: true
433
+ use_only_mean_in_flow: true
434
+ stochastic_duration_predictor_kernel_size: 3
435
+ stochastic_duration_predictor_dropout_rate: 0.5
436
+ stochastic_duration_predictor_flows: 4
437
+ stochastic_duration_predictor_dds_conv_layers: 3
438
+ vocabs: 180
439
+ aux_channels: 513
440
+ discriminator_type: hifigan_multi_scale_multi_period_discriminator
441
+ discriminator_params:
442
+ scales: 1
443
+ scale_downsample_pooling: AvgPool1d
444
+ scale_downsample_pooling_params:
445
+ kernel_size: 4
446
+ stride: 2
447
+ padding: 2
448
+ scale_discriminator_params:
449
+ in_channels: 1
450
+ out_channels: 1
451
+ kernel_sizes:
452
+ - 15
453
+ - 41
454
+ - 5
455
+ - 3
456
+ channels: 128
457
+ max_downsample_channels: 1024
458
+ max_groups: 16
459
+ bias: true
460
+ downsample_scales:
461
+ - 2
462
+ - 2
463
+ - 4
464
+ - 4
465
+ - 1
466
+ nonlinear_activation: LeakyReLU
467
+ nonlinear_activation_params:
468
+ negative_slope: 0.1
469
+ use_weight_norm: true
470
+ use_spectral_norm: false
471
+ follow_official_norm: false
472
+ periods:
473
+ - 2
474
+ - 3
475
+ - 5
476
+ - 7
477
+ - 11
478
+ period_discriminator_params:
479
+ in_channels: 1
480
+ out_channels: 1
481
+ kernel_sizes:
482
+ - 5
483
+ - 3
484
+ channels: 32
485
+ downsample_scales:
486
+ - 3
487
+ - 3
488
+ - 3
489
+ - 3
490
+ - 1
491
+ max_downsample_channels: 1024
492
+ bias: true
493
+ nonlinear_activation: LeakyReLU
494
+ nonlinear_activation_params:
495
+ negative_slope: 0.1
496
+ use_weight_norm: true
497
+ use_spectral_norm: false
498
+ generator_adv_loss_params:
499
+ average_by_discriminators: false
500
+ loss_type: mse
501
+ discriminator_adv_loss_params:
502
+ average_by_discriminators: false
503
+ loss_type: mse
504
+ feat_match_loss_params:
505
+ average_by_discriminators: false
506
+ average_by_layers: false
507
+ include_final_outputs: true
508
+ mel_loss_params:
509
+ fs: 22050
510
+ n_fft: 1024
511
+ hop_length: 256
512
+ win_length: null
513
+ window: hann
514
+ n_mels: 80
515
+ fmin: 0
516
+ fmax: null
517
+ log_base: null
518
+ lambda_adv: 1.0
519
+ lambda_mel: 45.0
520
+ lambda_feat_match: 2.0
521
+ lambda_dur: 1.0
522
+ lambda_kl: 1.0
523
+ sampling_rate: 22050
524
+ cache_generator_outputs: true
525
+ pitch_extract: null
526
+ pitch_extract_conf: {}
527
+ pitch_normalize: null
528
+ pitch_normalize_conf: {}
529
+ energy_extract: null
530
+ energy_extract_conf: {}
531
+ energy_normalize: null
532
+ energy_normalize_conf: {}
533
+ required:
534
+ - output_dir
535
+ - token_list
536
+ version: '202301'
537
+ distributed: false
538
+ ```
539
+
540
+ </details>
541
+
542
+
543
+
544
+ ### Citing ESPnet
545
+
546
+ ```BibTex
547
+ @inproceedings{watanabe2018espnet,
548
+ author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
549
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
550
+ year={2018},
551
+ booktitle={Proceedings of Interspeech},
552
+ pages={2207--2211},
553
+ doi={10.21437/Interspeech.2018-1456},
554
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
555
+ }
556
+
557
+
558
+
559
+
560
+ @inproceedings{hayashi2020espnet,
561
+ title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
562
+ 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},
563
+ booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
564
+ pages={7654--7658},
565
+ year={2020},
566
+ organization={IEEE}
567
+ }
568
+ ```
569
+
570
+ or arXiv:
571
+
572
+ ```bibtex
573
+ @misc{watanabe2018espnet,
574
+ title={ESPnet: End-to-End Speech Processing Toolkit},
575
+ author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
576
+ year={2018},
577
+ eprint={1804.00015},
578
+ archivePrefix={arXiv},
579
+ primaryClass={cs.CL}
580
+ }
581
+ ```
dump/22k/xvector/dev/spk_xvector.ark ADDED
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dump/22k/xvector/test/spk_xvector.ark ADDED
Binary file (442 kB). View file
 
dump/22k/xvector/test/spk_xvector.scp ADDED
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1
+ SSB0005 dump/22k/xvector/test/spk_xvector.ark:8
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dump/22k/xvector/train_no_dev/spk_xvector.ark ADDED
Binary file (359 kB). View file
 
dump/22k/xvector/train_no_dev/spk_xvector.scp ADDED
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1
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+ n_mels: 80
478
+ fmin: 0
479
+ fmax: null
480
+ log_base: null
481
+ lambda_adv: 1.0
482
+ lambda_mel: 45.0
483
+ lambda_feat_match: 2.0
484
+ lambda_dur: 1.0
485
+ lambda_kl: 1.0
486
+ sampling_rate: 22050
487
+ cache_generator_outputs: true
488
+ pitch_extract: null
489
+ pitch_extract_conf: {}
490
+ pitch_normalize: null
491
+ pitch_normalize_conf: {}
492
+ energy_extract: null
493
+ energy_extract_conf: {}
494
+ energy_normalize: null
495
+ energy_normalize_conf: {}
496
+ required:
497
+ - output_dir
498
+ - token_list
499
+ version: '202301'
500
+ distributed: false
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_backward_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_fake_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_forward_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_optim_step_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_real_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/discriminator_train_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_adv_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_backward_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_dur_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_feat_match_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_forward_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_kl_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_mel_loss.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_optim_step_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/generator_train_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/gpu_max_cached_mem_GB.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/iter_time.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/optim0_lr0.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/optim1_lr0.png ADDED
exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/images/train_time.png ADDED
meta.yaml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ espnet: '202301'
2
+ files:
3
+ model_file: exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/600epoch.pth
4
+ python: "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]"
5
+ timestamp: 1682826213.359642
6
+ torch: 1.12.1
7
+ yaml_files:
8
+ train_config: exp/22k/tts_train_raw_phn_pypinyin_g2p_phone/config.yaml