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  1. README.md +526 -0
  2. data/token_list/bpe_unigram250/bpe.model +3 -0
  3. exp/asr_stats_raw_bpe250_sp/train/feats_stats.npz +0 -0
  4. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/73epoch.pth +3 -0
  5. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/RESULTS.md +32 -0
  6. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/config.yaml +426 -0
  7. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/acc.png +0 -0
  8. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/backward_time.png +0 -0
  9. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/cer.png +0 -0
  10. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/cer_ctc.png +0 -0
  11. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/forward_time.png +0 -0
  12. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/gpu_max_cached_mem_GB.png +0 -0
  13. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/iter_time.png +0 -0
  14. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss.png +0 -0
  15. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss_att.png +0 -0
  16. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/loss_ctc.png +0 -0
  17. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/optim0_lr0.png +0 -0
  18. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/optim_step_time.png +0 -0
  19. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/train_time.png +0 -0
  20. exp/asr_train_asr_transformer_specaug_raw_bpe250_sp/images/wer.png +0 -0
  21. exp/lm_train_bpe250/config.yaml +373 -0
  22. exp/lm_train_bpe250/images/backward_time.png +0 -0
  23. exp/lm_train_bpe250/images/forward_time.png +0 -0
  24. exp/lm_train_bpe250/images/gpu_max_cached_mem_GB.png +0 -0
  25. exp/lm_train_bpe250/images/iter_time.png +0 -0
  26. exp/lm_train_bpe250/images/loss.png +0 -0
  27. exp/lm_train_bpe250/images/optim0_lr0.png +0 -0
  28. exp/lm_train_bpe250/images/optim_step_time.png +0 -0
  29. exp/lm_train_bpe250/images/train_time.png +0 -0
  30. exp/lm_train_bpe250/perplexity_test/ppl +1 -0
  31. exp/lm_train_bpe250/valid.loss.ave_10best.pth +3 -0
  32. meta.yaml +10 -0
README.md ADDED
@@ -0,0 +1,526 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - espnet
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+ - audio
5
+ - automatic-speech-recognition
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+ language: noinfo
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+ datasets:
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+ - totonac
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+ license: cc-by-4.0
10
+ ---
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+
12
+ ## ESPnet2 ASR model
13
+
14
+ ### `espnet/ftshijt_espnet2_asr_totonac_transformer`
15
+
16
+ This model was trained by ftshijt using totonac recipe in [espnet](https://github.com/espnet/espnet/).
17
+
18
+ ### Demo: How to use in ESPnet2
19
+
20
+ ```bash
21
+ cd espnet
22
+
23
+ pip install -e .
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+ cd els/totonac/asr1
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+ ./run.sh --skip_data_prep false --skip_train true --download_model espnet/ftshijt_espnet2_asr_totonac_transformer
26
+ ```
27
+
28
+ <!-- Generated by scripts/utils/show_asr_result.sh -->
29
+ # RESULTS
30
+ ## Environments
31
+ - date: `Sun Nov 7 09:22:09 EST 2021`
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+ - python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
33
+ - espnet version: `espnet 0.10.4a1`
34
+ - pytorch version: `pytorch 1.9.0`
35
+ - Git hash: ``
36
+ - Commit date: ``
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+
38
+ ## asr_train_asr_transformer_specaug_raw_bpe250_sp
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+ ### WER
40
+
41
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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+ |---|---|---|---|---|---|---|---|---|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|3547|59.8|32.9|7.3|6.5|46.7|87.4|
44
+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|5018|55.5|35.7|8.8|6.1|50.6|92.0|
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+
46
+ ### CER
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+
48
+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
49
+ |---|---|---|---|---|---|---|---|---|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|22510|88.1|4.4|7.4|3.9|15.8|87.4|
51
+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|32990|86.9|4.3|8.8|4.0|17.1|92.0|
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+
53
+ ### TER
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+
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+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
56
+ |---|---|---|---|---|---|---|---|---|
57
+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|9360|70.3|15.8|13.8|4.3|34.0|87.4|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|13835|70.5|16.0|13.6|4.4|33.9|92.0|
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+
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+ ## ASR config
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+
62
+ <details><summary>expand</summary>
63
+
64
+ ```
65
+ config: conf/tuning/train_asr_transformer_specaug.yaml
66
+ print_config: false
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+ log_level: INFO
68
+ dry_run: false
69
+ iterator_type: sequence
70
+ output_dir: exp/asr_train_asr_transformer_specaug_raw_bpe250_sp
71
+ ngpu: 1
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+ seed: 0
73
+ num_workers: 1
74
+ num_att_plot: 3
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+ dist_backend: nccl
76
+ dist_init_method: env://
77
+ dist_world_size: null
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+ dist_rank: null
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+ local_rank: 0
80
+ dist_master_addr: null
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+ dist_master_port: null
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+ dist_launcher: null
83
+ multiprocessing_distributed: false
84
+ unused_parameters: false
85
+ sharded_ddp: false
86
+ cudnn_enabled: true
87
+ cudnn_benchmark: false
88
+ cudnn_deterministic: true
89
+ collect_stats: false
90
+ write_collected_feats: false
91
+ max_epoch: 100
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+ patience: 15
93
+ val_scheduler_criterion:
94
+ - valid
95
+ - loss
96
+ early_stopping_criterion:
97
+ - valid
98
+ - loss
99
+ - min
100
+ best_model_criterion:
101
+ - - valid
102
+ - acc
103
+ - max
104
+ keep_nbest_models: 10
105
+ grad_clip: 5
106
+ grad_clip_type: 2.0
107
+ grad_noise: false
108
+ accum_grad: 2
109
+ no_forward_run: false
110
+ resume: true
111
+ train_dtype: float32
112
+ use_amp: false
113
+ log_interval: null
114
+ use_tensorboard: true
115
+ use_wandb: false
116
+ wandb_project: null
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+ wandb_id: null
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+ wandb_entity: null
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+ wandb_name: null
120
+ wandb_model_log_interval: -1
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+ detect_anomaly: false
122
+ pretrain_path: null
123
+ init_param: []
124
+ ignore_init_mismatch: false
125
+ freeze_param: []
126
+ num_iters_per_epoch: null
127
+ batch_size: 32
128
+ valid_batch_size: null
129
+ batch_bins: 1000000
130
+ valid_batch_bins: null
131
+ train_shape_file:
132
+ - exp/asr_stats_raw_bpe250_sp/train/speech_shape
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+ - exp/asr_stats_raw_bpe250_sp/train/text_shape.bpe
134
+ valid_shape_file:
135
+ - exp/asr_stats_raw_bpe250_sp/valid/speech_shape
136
+ - exp/asr_stats_raw_bpe250_sp/valid/text_shape.bpe
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+ batch_type: folded
138
+ valid_batch_type: null
139
+ fold_length:
140
+ - 80000
141
+ - 150
142
+ sort_in_batch: descending
143
+ sort_batch: descending
144
+ multiple_iterator: false
145
+ chunk_length: 500
146
+ chunk_shift_ratio: 0.5
147
+ num_cache_chunks: 1024
148
+ train_data_path_and_name_and_type:
149
+ - - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/wav.scp
150
+ - speech
151
+ - kaldi_ark
152
+ - - /tmp/jiatong-7359.okvPvI3Z/raw/train_sp/text
153
+ - text
154
+ - text
155
+ valid_data_path_and_name_and_type:
156
+ - - /tmp/jiatong-7359.okvPvI3Z/raw/dev/wav.scp
157
+ - speech
158
+ - kaldi_ark
159
+ - - /tmp/jiatong-7359.okvPvI3Z/raw/dev/text
160
+ - text
161
+ - text
162
+ allow_variable_data_keys: false
163
+ max_cache_size: 0.0
164
+ max_cache_fd: 32
165
+ valid_max_cache_size: null
166
+ optim: adam
167
+ optim_conf:
168
+ lr: 1.0
169
+ scheduler: noamlr
170
+ scheduler_conf:
171
+ warmup_steps: 4000
172
+ token_list:
173
+ - <blank>
174
+ - <unk>
175
+ - ':'
176
+ - ▁N
177
+ - NI
178
+ - N
179
+ - ▁IYMA
180
+ - ▁NA
181
+ - NA
182
+ - ▁WA
183
+ - WA
184
+ - ▁
185
+ - ''''
186
+ - KA
187
+ - ▁MA
188
+ - MA
189
+ - T
190
+ - ▁XA
191
+ - TA
192
+ - NCHU
193
+ - WI
194
+ - ▁LI
195
+ - ▁NI
196
+ - PA
197
+ - YI
198
+ - ▁PUS
199
+ - K
200
+ - ▁PI
201
+ - ▁X
202
+ - S
203
+ - ▁TA
204
+ - YA
205
+ - ▁LA
206
+ - Q
207
+ - QA
208
+ - TI
209
+ - ▁KA
210
+ - QO
211
+ - W
212
+ - ▁KAH
213
+ - ▁PALA
214
+ - H
215
+ - X
216
+ - XA
217
+ - ▁KI
218
+ - A
219
+ - LH
220
+ - I
221
+ - LA
222
+ - ▁CHA
223
+ - ▁A
224
+ - ▁XLI
225
+ - ▁LHI
226
+ - U
227
+ - ▁K
228
+ - KANI
229
+ - KU
230
+ - Y
231
+ - ▁LU
232
+ - Á
233
+ - ▁CHU
234
+ - O
235
+ - KI
236
+ - ▁KIWI
237
+ - NTLA
238
+ - ▁TLA
239
+ - M
240
+ - ▁TAWA
241
+ - ▁TI
242
+ - ▁S
243
+ - WANI
244
+ - CHA
245
+ - LHI
246
+ - LI
247
+ - ▁TU
248
+ - ▁PALHA
249
+ - Í
250
+ - ▁CHANÁ
251
+ - ▁KILHWAMPA
252
+ - KÁN
253
+ - ▁WAYMA
254
+ - E
255
+ - SA
256
+ - ▁E
257
+ - ▁LHU
258
+ - LHA
259
+ - PU
260
+ - ▁LHA
261
+ - ▁PA
262
+ - ▁LAK
263
+ - ▁ANTA
264
+ - ▁KITI
265
+ - NCHÚ
266
+ - SI
267
+ - TLA
268
+ - PI
269
+ - ▁KINI
270
+ - CHI
271
+ - ▁PEROH
272
+ - ▁PU
273
+ - QÓ
274
+ - QALHCHIWINA
275
+ - TU
276
+ - ▁TLHA
277
+ - ▁WI
278
+ - NÁ
279
+ - ▁KAN
280
+ - ▁NAYI
281
+ - CH
282
+ - 'NO'
283
+ - ▁U
284
+ - TSA
285
+ - MÁ
286
+ - NQO
287
+ - ▁ANA
288
+ - ▁LIKWA
289
+ - ▁XTA
290
+ - J
291
+ - ▁QALH
292
+ - TO
293
+ - TÁ
294
+ - ▁USA
295
+ - ▁PORQUE
296
+ - ▁MI
297
+ - L
298
+ - ▁TAWÁ
299
+ - XI
300
+ - LHAQAPASA
301
+ - P
302
+ - CHIWI
303
+ - WÁ
304
+ - NTI
305
+ - ▁JKA
306
+ - Ú
307
+ - NTLHA
308
+ - R
309
+ - TSI
310
+ - C
311
+ - STA
312
+ - ▁LH
313
+ - LHU
314
+ - MPI
315
+ - ▁I
316
+ - ▁NILH
317
+ - ▁KATSI
318
+ - ▁LHAK
319
+ - MAKLHAKASKI
320
+ - ▁WANIKÁN
321
+ - ▁WIXI
322
+ - ▁TSI
323
+ - KÚ
324
+ - NÍ
325
+ - ▁PAKS
326
+ - NU
327
+ - TLHA
328
+ - YÁ
329
+ - KUCHAN
330
+ - XAQATLI
331
+ - ▁MAX
332
+ - ▁LAQAPASA
333
+ - ▁LAQ
334
+ - QALH
335
+ - KATSI
336
+ - Ó
337
+ - LAQAPASA
338
+ - ▁J
339
+ - ▁QAMA
340
+ - NTU
341
+ - MI
342
+ - KIWI
343
+ - ▁KIN
344
+ - ▁XANAT
345
+ - ▁CHI
346
+ - JA
347
+ - ▁IY
348
+ - ▁TSU
349
+ - MAKLAKAS
350
+ - ▁MAQA
351
+ - LÁ
352
+ - ▁KATSIYA
353
+ - ▁TLANKA
354
+ - ▁STAK
355
+ - ▁XLA
356
+ - ▁LHIKWA
357
+ - ▁SQA
358
+ - ▁P
359
+ - TAHNA
360
+ - ▁TLAQ
361
+ - ▁JKATSI
362
+ - MAKLAKASKINKA
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+ - YÁW
364
+ - WATIYA
365
+ - CHÁ
366
+ - ▁IPORQUEI
367
+ - ▁AKXNI
368
+ - TSU
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+ - ▁TSINÓ
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+ - ▁STAKA
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+ - ▁AKXNÍ
372
+ - LAKATA
373
+ - KATSÍ
374
+ - ▁XALHAK
375
+ - TLAWAYA
376
+ - SPUT
377
+ - ▁XATAWA
378
+ - QALHCHIWI
379
+ - PÁ
380
+ - JU
381
+ - ▁XAXANAT
382
+ - ▁PÉREZ
383
+ - ▁AKTSU
384
+ - ▁JKI
385
+ - NTÚ
386
+ - ▁KATSIYÁ
387
+ - ▁IESTEI
388
+ - LAQAPASÁ
389
+ - ▁MASKI
390
+ - ▁LAQSQATÁ
391
+ - ▁TLHANKA
392
+ - ▁WANIKANI
393
+ - ▁LÓPEZ
394
+ - MAKLAKASKINKÁN
395
+ - ▁ANTÁ
396
+ - ▁TACHIWÍ
397
+ - ▁SEBAST
398
+ - ▁CANO
399
+ - ▁XKUTNI
400
+ - ▁UKXILH
401
+ - TANKAH
402
+ - LAKASKINQO
403
+ - LAKAPASTAK
404
+ - ▁XCHACHAT
405
+ - TAKAWANÍ
406
+ - ▁TLÁ
407
+ - ▁TSINOH
408
+ - KAXTLAWA
409
+ - ▁NÚÑEZ
410
+ - ▁XLAKASKINKA
411
+ - ▁WÁTIYA
412
+ - ONCE
413
+ - Z
414
+ - É
415
+ - D
416
+ - Ñ
417
+ - V
418
+ - F
419
+ - G
420
+ - '1'
421
+ - B
422
+ - <sos/eos>
423
+ init: xavier_uniform
424
+ input_size: null
425
+ ctc_conf:
426
+ dropout_rate: 0.0
427
+ ctc_type: builtin
428
+ reduce: true
429
+ ignore_nan_grad: true
430
+ model_conf:
431
+ ctc_weight: 0.3
432
+ lsm_weight: 0.1
433
+ length_normalized_loss: false
434
+ use_preprocessor: true
435
+ token_type: bpe
436
+ bpemodel: data/token_list/bpe_unigram250/bpe.model
437
+ non_linguistic_symbols: null
438
+ cleaner: null
439
+ g2p: null
440
+ speech_volume_normalize: null
441
+ rir_scp: null
442
+ rir_apply_prob: 1.0
443
+ noise_scp: null
444
+ noise_apply_prob: 1.0
445
+ noise_db_range: '13_15'
446
+ frontend: default
447
+ frontend_conf:
448
+ fs: 16k
449
+ specaug: specaug
450
+ specaug_conf:
451
+ apply_time_warp: true
452
+ time_warp_window: 5
453
+ time_warp_mode: bicubic
454
+ apply_freq_mask: true
455
+ freq_mask_width_range:
456
+ - 0
457
+ - 30
458
+ num_freq_mask: 2
459
+ apply_time_mask: true
460
+ time_mask_width_range:
461
+ - 0
462
+ - 40
463
+ num_time_mask: 2
464
+ normalize: global_mvn
465
+ normalize_conf:
466
+ stats_file: exp/asr_stats_raw_bpe250_sp/train/feats_stats.npz
467
+ preencoder: null
468
+ preencoder_conf: {}
469
+ encoder: transformer
470
+ encoder_conf:
471
+ input_layer: conv2d
472
+ num_blocks: 12
473
+ linear_units: 2048
474
+ dropout_rate: 0.1
475
+ output_size: 256
476
+ attention_heads: 4
477
+ attention_dropout_rate: 0.0
478
+ postencoder: null
479
+ postencoder_conf: {}
480
+ decoder: transformer
481
+ decoder_conf:
482
+ input_layer: embed
483
+ num_blocks: 6
484
+ linear_units: 2048
485
+ dropout_rate: 0.1
486
+ required:
487
+ - output_dir
488
+ - token_list
489
+ version: 0.10.4a1
490
+ distributed: false
491
+ ```
492
+
493
+ </details>
494
+
495
+
496
+
497
+ ### Citing ESPnet
498
+
499
+ ```BibTex
500
+ @inproceedings{watanabe2018espnet,
501
+ 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},
502
+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
503
+ year={2018},
504
+ booktitle={Proceedings of Interspeech},
505
+ pages={2207--2211},
506
+ doi={10.21437/Interspeech.2018-1456},
507
+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
508
+ }
509
+
510
+
511
+
512
+
513
+ ```
514
+
515
+ or arXiv:
516
+
517
+ ```bibtex
518
+ @misc{watanabe2018espnet,
519
+ title={ESPnet: End-to-End Speech Processing Toolkit},
520
+ 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},
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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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+ <!-- Generated by scripts/utils/show_asr_result.sh -->
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+ # RESULTS
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+ ## Environments
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+ - date: `Sun Nov 7 09:22:09 EST 2021`
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+ - python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
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+ - espnet version: `espnet 0.10.4a1`
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+ - pytorch version: `pytorch 1.9.0`
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+ - Git hash: ``
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+ - Commit date: ``
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+
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+ ## asr_train_asr_transformer_specaug_raw_bpe250_sp
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+ ### WER
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+
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+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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+ |---|---|---|---|---|---|---|---|---|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|3547|59.8|32.9|7.3|6.5|46.7|87.4|
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+
19
+ ### CER
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+
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+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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+ |---|---|---|---|---|---|---|---|---|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|22510|88.1|4.4|7.4|3.9|15.8|87.4|
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+
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+ ### TER
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+
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+ |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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+ |---|---|---|---|---|---|---|---|---|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/dev|530|9360|70.3|15.8|13.8|4.3|34.0|87.4|
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+ |decode_asr_lm_lm_train_bpe250_valid.loss.ave_asr_model_valid.acc.best/test|704|13835|70.5|16.0|13.6|4.4|33.9|92.0|
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+
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