import from zenodo
Browse files- README.md +43 -0
- data/token_list/bpe_unigram1000/bpe.model +3 -0
- exp/asr_stats_raw_bpe1000/train/feats_stats.npz +0 -0
- exp/asr_train_asr_raw_bpe1000/196epoch.pth +3 -0
- exp/asr_train_asr_raw_bpe1000/RESULTS.md +32 -0
- exp/asr_train_asr_raw_bpe1000/config.yaml +1161 -0
- exp/asr_train_asr_raw_bpe1000/images/acc.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/backward_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/cer.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/cer_ctc.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/forward_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/gpu_max_cached_mem_GB.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/iter_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/loss.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/loss_att.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/loss_ctc.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/optim0_lr0.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/optim_step_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/train_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/wer.png +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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- automatic-speech-recognition
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language: su
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datasets:
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- su_openslr36
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license: cc-by-4.0
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---
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## ESPnet2 ASR pretrained model
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### `su_openslr36`
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♻️ Imported from https://zenodo.org/record/5090135/
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This model was trained by su_openslr36 using su_openslr36/asr1 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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```
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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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data/token_list/bpe_unigram1000/bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:10c596a2c27c533d1de72ebf607edfc0f2fc3fae8a9770f998a0d6c51495d818
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size 252039
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exp/asr_stats_raw_bpe1000/train/feats_stats.npz
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Binary file (1.4 kB). View file
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exp/asr_train_asr_raw_bpe1000/196epoch.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:10848443b9b121a13f86d982576155c1390d35eef2504acbe7b1a11f4cd0323c
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size 111680269
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exp/asr_train_asr_raw_bpe1000/RESULTS.md
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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: `Fri Jul 9 20:43:31 PDT 2021`
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- python version: `3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]`
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- espnet version: `espnet 0.10.0`
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- pytorch version: `pytorch 1.8.1+cu102`
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- Git hash: `049c1203da14ec06a8f8290575f5a44a5b1634d1`
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- Commit date: `Fri Jul 9 08:52:32 2021 -0700`
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## asr_train_asr_raw_bpe1000
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### WER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_asr_model_valid.acc.best/sunda_test|2185|17916|98.5|1.2|0.3|0.1|1.6|5.0|
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|decode_asr_batch_size1_asr_model_valid.acc.best/sunda_test|2185|17916|98.5|1.2|0.3|0.1|1.6|5.0|
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### CER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_asr_model_valid.acc.best/sunda_test|2185|117265|99.5|0.2|0.3|0.1|0.6|5.0|
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|decode_asr_batch_size1_asr_model_valid.acc.best/sunda_test|2185|117265|99.5|0.2|0.3|0.1|0.6|5.0|
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### TER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_asr_model_valid.acc.best/sunda_test|2185|36414|98.5|0.9|0.6|0.2|1.6|5.0|
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|decode_asr_batch_size1_asr_model_valid.acc.best/sunda_test|2185|36414|98.5|0.9|0.6|0.2|1.6|5.0|
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exp/asr_train_asr_raw_bpe1000/config.yaml
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|
1 |
+
config: conf/train_asr.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/asr_train_asr_raw_bpe1000
|
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: 2
|
14 |
+
dist_rank: 0
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: localhost
|
17 |
+
dist_master_port: 44079
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: true
|
20 |
+
unused_parameters: false
|
21 |
+
sharded_ddp: false
|
22 |
+
cudnn_enabled: true
|
23 |
+
cudnn_benchmark: false
|
24 |
+
cudnn_deterministic: true
|
25 |
+
collect_stats: false
|
26 |
+
write_collected_feats: false
|
27 |
+
max_epoch: 200
|
28 |
+
patience: 20
|
29 |
+
val_scheduler_criterion:
|
30 |
+
- valid
|
31 |
+
- loss
|
32 |
+
early_stopping_criterion:
|
33 |
+
- valid
|
34 |
+
- loss
|
35 |
+
- min
|
36 |
+
best_model_criterion:
|
37 |
+
- - valid
|
38 |
+
- acc
|
39 |
+
- max
|
40 |
+
keep_nbest_models: 10
|
41 |
+
grad_clip: 5
|
42 |
+
grad_clip_type: 2.0
|
43 |
+
grad_noise: false
|
44 |
+
accum_grad: 2
|
45 |
+
no_forward_run: false
|
46 |
+
resume: true
|
47 |
+
train_dtype: float32
|
48 |
+
use_amp: false
|
49 |
+
log_interval: null
|
50 |
+
use_tensorboard: true
|
51 |
+
use_wandb: false
|
52 |
+
wandb_project: null
|
53 |
+
wandb_id: null
|
54 |
+
wandb_entity: null
|
55 |
+
wandb_name: null
|
56 |
+
wandb_model_log_interval: -1
|
57 |
+
detect_anomaly: false
|
58 |
+
pretrain_path: null
|
59 |
+
init_param: []
|
60 |
+
ignore_init_mismatch: false
|
61 |
+
freeze_param: []
|
62 |
+
num_iters_per_epoch: null
|
63 |
+
batch_size: 32
|
64 |
+
valid_batch_size: null
|
65 |
+
batch_bins: 1000000
|
66 |
+
valid_batch_bins: null
|
67 |
+
train_shape_file:
|
68 |
+
- exp/asr_stats_raw_bpe1000/train/speech_shape
|
69 |
+
- exp/asr_stats_raw_bpe1000/train/text_shape.bpe
|
70 |
+
valid_shape_file:
|
71 |
+
- exp/asr_stats_raw_bpe1000/valid/speech_shape
|
72 |
+
- exp/asr_stats_raw_bpe1000/valid/text_shape.bpe
|
73 |
+
batch_type: folded
|
74 |
+
valid_batch_type: null
|
75 |
+
fold_length:
|
76 |
+
- 80000
|
77 |
+
- 150
|
78 |
+
sort_in_batch: descending
|
79 |
+
sort_batch: descending
|
80 |
+
multiple_iterator: false
|
81 |
+
chunk_length: 500
|
82 |
+
chunk_shift_ratio: 0.5
|
83 |
+
num_cache_chunks: 1024
|
84 |
+
train_data_path_and_name_and_type:
|
85 |
+
- - dump/raw/sunda_train/wav.scp
|
86 |
+
- speech
|
87 |
+
- sound
|
88 |
+
- - dump/raw/sunda_train/text
|
89 |
+
- text
|
90 |
+
- text
|
91 |
+
valid_data_path_and_name_and_type:
|
92 |
+
- - dump/raw/sunda_dev/wav.scp
|
93 |
+
- speech
|
94 |
+
- sound
|
95 |
+
- - dump/raw/sunda_dev/text
|
96 |
+
- text
|
97 |
+
- text
|
98 |
+
allow_variable_data_keys: false
|
99 |
+
max_cache_size: 0.0
|
100 |
+
max_cache_fd: 32
|
101 |
+
valid_max_cache_size: null
|
102 |
+
optim: adam
|
103 |
+
optim_conf:
|
104 |
+
lr: 10.0
|
105 |
+
scheduler: noamlr
|
106 |
+
scheduler_conf:
|
107 |
+
warmup_steps: 25000
|
108 |
+
token_list:
|
109 |
+
- <blank>
|
110 |
+
- <unk>
|
111 |
+
- ▁
|
112 |
+
- ▁DI
|
113 |
+
- KEUR
|
114 |
+
- ▁KU
|
115 |
+
- ▁JEUNG
|
116 |
+
- ▁OL
|
117 |
+
- ▁NINGALI
|
118 |
+
- NCARA
|
119 |
+
- ▁WARTAWAN
|
120 |
+
- OHOK
|
121 |
+
- WAWA
|
122 |
+
- POTO
|
123 |
+
- A
|
124 |
+
- I
|
125 |
+
- E
|
126 |
+
- Y
|
127 |
+
- S
|
128 |
+
- O
|
129 |
+
- AN
|
130 |
+
- T
|
131 |
+
- NA
|
132 |
+
- N
|
133 |
+
- R
|
134 |
+
- RA
|
135 |
+
- L
|
136 |
+
- ER
|
137 |
+
- H
|
138 |
+
- D
|
139 |
+
- ▁KA
|
140 |
+
- 'ON'
|
141 |
+
- U
|
142 |
+
- TA
|
143 |
+
- IN
|
144 |
+
- ▁K
|
145 |
+
- ▁S
|
146 |
+
- P
|
147 |
+
- MA
|
148 |
+
- G
|
149 |
+
- K
|
150 |
+
- AR
|
151 |
+
- LA
|
152 |
+
- RI
|
153 |
+
- NG
|
154 |
+
- M
|
155 |
+
- EL
|
156 |
+
- ▁M
|
157 |
+
- ▁D
|
158 |
+
- DI
|
159 |
+
- LE
|
160 |
+
- B
|
161 |
+
- IE
|
162 |
+
- ▁P
|
163 |
+
- Z
|
164 |
+
- W
|
165 |
+
- WI
|
166 |
+
- ▁B
|
167 |
+
- ▁MAR
|
168 |
+
- EN
|
169 |
+
- AD
|
170 |
+
- ▁T
|
171 |
+
- .
|
172 |
+
- SON
|
173 |
+
- ▁F
|
174 |
+
- AS
|
175 |
+
- IS
|
176 |
+
- UR
|
177 |
+
- KA
|
178 |
+
- ▁LI
|
179 |
+
- MAN
|
180 |
+
- ING
|
181 |
+
- UNG
|
182 |
+
- ▁G
|
183 |
+
- ▁AL
|
184 |
+
- V
|
185 |
+
- TON
|
186 |
+
- UN
|
187 |
+
- WA
|
188 |
+
- ▁AYA
|
189 |
+
- ▁POE
|
190 |
+
- F
|
191 |
+
- ▁TI
|
192 |
+
- ▁DINA
|
193 |
+
- ▁NI
|
194 |
+
- TH
|
195 |
+
- RE
|
196 |
+
- ▁O
|
197 |
+
- ▁ARI
|
198 |
+
- ▁HA
|
199 |
+
- CA
|
200 |
+
- NE
|
201 |
+
- CK
|
202 |
+
- ORAN
|
203 |
+
- ▁JA
|
204 |
+
- ▁ME
|
205 |
+
- TO
|
206 |
+
- AH
|
207 |
+
- ▁SI
|
208 |
+
- US
|
209 |
+
- ▁C
|
210 |
+
- ▁SO
|
211 |
+
- UL
|
212 |
+
- LO
|
213 |
+
- DEWI
|
214 |
+
- ES
|
215 |
+
- ▁BA
|
216 |
+
- ▁Z
|
217 |
+
- ▁MI
|
218 |
+
- AL
|
219 |
+
- ▁RO
|
220 |
+
- ED
|
221 |
+
- ▁SA
|
222 |
+
- KY
|
223 |
+
- ▁PA
|
224 |
+
- ▁SU
|
225 |
+
- EK
|
226 |
+
- ▁BE
|
227 |
+
- SA
|
228 |
+
- TYA
|
229 |
+
- ▁CA
|
230 |
+
- IKA
|
231 |
+
- ▁BEN
|
232 |
+
- NDA
|
233 |
+
- CE
|
234 |
+
- ▁JO
|
235 |
+
- NATA
|
236 |
+
- ▁H
|
237 |
+
- IA
|
238 |
+
- ▁RU
|
239 |
+
- INA
|
240 |
+
- ▁CHRIS
|
241 |
+
- ▁SAND
|
242 |
+
- ▁THE
|
243 |
+
- IM
|
244 |
+
- BERT
|
245 |
+
- ▁SAM
|
246 |
+
- YA
|
247 |
+
- C
|
248 |
+
- HA
|
249 |
+
- ▁HO
|
250 |
+
- ▁LEE
|
251 |
+
- KU
|
252 |
+
- GO
|
253 |
+
- ▁DON
|
254 |
+
- ▁IR
|
255 |
+
- ATI
|
256 |
+
- UK
|
257 |
+
- ▁W
|
258 |
+
- GER
|
259 |
+
- ZI
|
260 |
+
- ▁JOHN
|
261 |
+
- ▁IS
|
262 |
+
- ANG
|
263 |
+
- ▁KE
|
264 |
+
- LEY
|
265 |
+
- ▁RE
|
266 |
+
- ▁SE
|
267 |
+
- ▁BO
|
268 |
+
- IF
|
269 |
+
- ▁MUHAM
|
270 |
+
- MY
|
271 |
+
- ▁JACK
|
272 |
+
- LY
|
273 |
+
- DO
|
274 |
+
- KI
|
275 |
+
- ▁KAT
|
276 |
+
- ▁RAM
|
277 |
+
- KH
|
278 |
+
- IC
|
279 |
+
- ▁L
|
280 |
+
- ▁JI
|
281 |
+
- AM
|
282 |
+
- ▁JESSI
|
283 |
+
- ▁BELL
|
284 |
+
- ▁MO
|
285 |
+
- AVID
|
286 |
+
- RO
|
287 |
+
- HAM
|
288 |
+
- EM
|
289 |
+
- OR
|
290 |
+
- JA
|
291 |
+
- ▁HE
|
292 |
+
- SARI
|
293 |
+
- MAD
|
294 |
+
- ID
|
295 |
+
- '-'
|
296 |
+
- LAN
|
297 |
+
- OT
|
298 |
+
- RAH
|
299 |
+
- ASA
|
300 |
+
- ▁ELIZABETH
|
301 |
+
- INE
|
302 |
+
- ▁TOM
|
303 |
+
- ▁LE
|
304 |
+
- ▁LA
|
305 |
+
- ▁REZ
|
306 |
+
- ▁AND
|
307 |
+
- ▁JENN
|
308 |
+
- UM
|
309 |
+
- ▁MARIA
|
310 |
+
- ▁BON
|
311 |
+
- ▁CHO
|
312 |
+
- FA
|
313 |
+
- YONG
|
314 |
+
- ▁TITI
|
315 |
+
- HEN
|
316 |
+
- ▁BR
|
317 |
+
- EB
|
318 |
+
- ▁ANU
|
319 |
+
- ISA
|
320 |
+
- ▁PE
|
321 |
+
- ▁DO
|
322 |
+
- ▁TEU
|
323 |
+
- TEN
|
324 |
+
- ▁MIR
|
325 |
+
- ▁NU
|
326 |
+
- WAN
|
327 |
+
- ▁RI
|
328 |
+
- EZ
|
329 |
+
- ▁VIN
|
330 |
+
- MAL
|
331 |
+
- OS
|
332 |
+
- OOR
|
333 |
+
- RAN
|
334 |
+
- ▁WIN
|
335 |
+
- BING
|
336 |
+
- ▁YU
|
337 |
+
- ▁GI
|
338 |
+
- ▁AHM
|
339 |
+
- ANTI
|
340 |
+
- ▁LU
|
341 |
+
- ALI
|
342 |
+
- ▁NO
|
343 |
+
- ▁BILL
|
344 |
+
- ▁YO
|
345 |
+
- J
|
346 |
+
- SHA
|
347 |
+
- ▁ADAM
|
348 |
+
- LIE
|
349 |
+
- ▁SOPHI
|
350 |
+
- CKY
|
351 |
+
- ▁JON
|
352 |
+
- ▁MARTIN
|
353 |
+
- ▁KHAN
|
354 |
+
- DER
|
355 |
+
- ▁KAP
|
356 |
+
- ▁JOE
|
357 |
+
- ▁WON
|
358 |
+
- ▁JAME
|
359 |
+
- ▁WILLIAM
|
360 |
+
- ▁J
|
361 |
+
- ▁KAR
|
362 |
+
- ▁AR
|
363 |
+
- MITH
|
364 |
+
- ▁ADI
|
365 |
+
- UA
|
366 |
+
- ▁CHANDRA
|
367 |
+
- ▁RIZ
|
368 |
+
- ▁ASHLE
|
369 |
+
- ▁RICHARD
|
370 |
+
- ▁PUTRI
|
371 |
+
- ▁JOSH
|
372 |
+
- ▁HARRIS
|
373 |
+
- ▁GUN
|
374 |
+
- RINA
|
375 |
+
- ▁INDRA
|
376 |
+
- ARA
|
377 |
+
- ▁LAT
|
378 |
+
- ▁EM
|
379 |
+
- ▁AYU
|
380 |
+
- ▁VAN
|
381 |
+
- WATI
|
382 |
+
- CHAN
|
383 |
+
- SYA
|
384 |
+
- ▁ALI
|
385 |
+
- CHEL
|
386 |
+
- ▁PAN
|
387 |
+
- ALL
|
388 |
+
- BU
|
389 |
+
- ▁CH
|
390 |
+
- AWA
|
391 |
+
- ▁ABD
|
392 |
+
- NS
|
393 |
+
- ERRY
|
394 |
+
- AEL
|
395 |
+
- ▁DAR
|
396 |
+
- ▁JU
|
397 |
+
- NY
|
398 |
+
- ▁SHAH
|
399 |
+
- ELLY
|
400 |
+
- HU
|
401 |
+
- ▁MICHEL
|
402 |
+
- ▁CAR
|
403 |
+
- RIO
|
404 |
+
- ULIN
|
405 |
+
- ▁DAHLIA
|
406 |
+
- ▁KANG
|
407 |
+
- ▁MIN
|
408 |
+
- ▁LOBA
|
409 |
+
- ▁YUKI
|
410 |
+
- ▁EVA
|
411 |
+
- ▁WILL
|
412 |
+
- INDAH
|
413 |
+
- ▁JUD
|
414 |
+
- NTY
|
415 |
+
- ▁CIT
|
416 |
+
- ▁JUN
|
417 |
+
- ▁MC
|
418 |
+
- ▁JUSTI
|
419 |
+
- PERT
|
420 |
+
- ▁CI
|
421 |
+
- ▁US
|
422 |
+
- ▁YUN
|
423 |
+
- ▁SIMP
|
424 |
+
- NIE
|
425 |
+
- DAD
|
426 |
+
- ▁MEL
|
427 |
+
- ▁SHERI
|
428 |
+
- ▁PAUL
|
429 |
+
- RYAN
|
430 |
+
- ▁RAN
|
431 |
+
- ▁VI
|
432 |
+
- HAKIM
|
433 |
+
- ▁FAT
|
434 |
+
- ALLEN
|
435 |
+
- UNGAN
|
436 |
+
- ▁MARC
|
437 |
+
- MES
|
438 |
+
- ▁CRIST
|
439 |
+
- ▁MARK
|
440 |
+
- ▁DANIEL
|
441 |
+
- ▁ROSS
|
442 |
+
- FAN
|
443 |
+
- ▁REEVE
|
444 |
+
- ▁JULIA
|
445 |
+
- ZHA
|
446 |
+
- ONEY
|
447 |
+
- ▁KANTO
|
448 |
+
- ▁KATE
|
449 |
+
- ▁JIM
|
450 |
+
- ▁LAU
|
451 |
+
- ▁WOOD
|
452 |
+
- BAMA
|
453 |
+
- LOR
|
454 |
+
- LUM
|
455 |
+
- GHAN
|
456 |
+
- ▁TRI
|
457 |
+
- ▁MICH
|
458 |
+
- ▁DU
|
459 |
+
- RTIKA
|
460 |
+
- ▁RICK
|
461 |
+
- ESSA
|
462 |
+
- TIK
|
463 |
+
- EVIN
|
464 |
+
- ▁TAY
|
465 |
+
- ANDAR
|
466 |
+
- ▁SHI
|
467 |
+
- ELA
|
468 |
+
- ▁GAD
|
469 |
+
- ▁WIB
|
470 |
+
- ▁JE
|
471 |
+
- CHOLAS
|
472 |
+
- YAM
|
473 |
+
- ▁HARU
|
474 |
+
- ▁TUR
|
475 |
+
- ▁CHARL
|
476 |
+
- ▁SHAR
|
477 |
+
- JAYA
|
478 |
+
- ▁HYUN
|
479 |
+
- X
|
480 |
+
- ▁SYAH
|
481 |
+
- ▁LANCE
|
482 |
+
- LVIN
|
483 |
+
- UKI
|
484 |
+
- ▁PAPA
|
485 |
+
- ▁DARA
|
486 |
+
- AUDY
|
487 |
+
- ▁SHA
|
488 |
+
- ▁SIT
|
489 |
+
- ARAH
|
490 |
+
- SEA
|
491 |
+
- ▁BUL
|
492 |
+
- ▁CO
|
493 |
+
- BANG
|
494 |
+
- KEUN
|
495 |
+
- LINA
|
496 |
+
- RYA
|
497 |
+
- ▁NGAR
|
498 |
+
- RIANA
|
499 |
+
- ▁GEDE
|
500 |
+
- AWAN
|
501 |
+
- ▁PANG
|
502 |
+
- ▁MELL
|
503 |
+
- AKE
|
504 |
+
- STIAN
|
505 |
+
- NDRA
|
506 |
+
- ▁CAFE
|
507 |
+
- DAY
|
508 |
+
- ▁BAD
|
509 |
+
- ▁LAUR
|
510 |
+
- ▁KRIS
|
511 |
+
- ▁REBO
|
512 |
+
- ▁NEP
|
513 |
+
- ▁ROBB
|
514 |
+
- ▁STONE
|
515 |
+
- BAH
|
516 |
+
- WARD
|
517 |
+
- ▁FAR
|
518 |
+
- LIA
|
519 |
+
- ▁SORA
|
520 |
+
- PATI
|
521 |
+
- ▁RATU
|
522 |
+
- ▁KAMAR
|
523 |
+
- ▁SUN
|
524 |
+
- ▁MEDIA
|
525 |
+
- EPP
|
526 |
+
- ▁AGUS
|
527 |
+
- ▁MASA
|
528 |
+
- NDY
|
529 |
+
- ▁LAM
|
530 |
+
- NDES
|
531 |
+
- TINA
|
532 |
+
- ▁DEV
|
533 |
+
- ISH
|
534 |
+
- ▁GREEN
|
535 |
+
- ORO
|
536 |
+
- BALE
|
537 |
+
- ▁SURYA
|
538 |
+
- ▁PARK
|
539 |
+
- RAHMAN
|
540 |
+
- IPUT
|
541 |
+
- ▁GINANJAR
|
542 |
+
- REW
|
543 |
+
- ▁VICTORIA
|
544 |
+
- ▁JANET
|
545 |
+
- ▁BAY
|
546 |
+
- OSTER
|
547 |
+
- ▁STE
|
548 |
+
- ▁RITA
|
549 |
+
- ▁ARM
|
550 |
+
- ▁MAHER
|
551 |
+
- ▁CARE
|
552 |
+
- MELA
|
553 |
+
- WART
|
554 |
+
- ALIK
|
555 |
+
- ▁ANGEL
|
556 |
+
- STRONG
|
557 |
+
- ▁CRUISE
|
558 |
+
- ▁DANI
|
559 |
+
- ▁CLIN
|
560 |
+
- ▁AYEUNA
|
561 |
+
- ▁SONG
|
562 |
+
- ▁FACHR
|
563 |
+
- GITA
|
564 |
+
- RANDA
|
565 |
+
- ▁MAU
|
566 |
+
- KITA
|
567 |
+
- ICIA
|
568 |
+
- ▁FEB
|
569 |
+
- ▁ANT
|
570 |
+
- VIA
|
571 |
+
- ▁TURNE
|
572 |
+
- PORT
|
573 |
+
- ▁RAS
|
574 |
+
- LIU
|
575 |
+
- ▁OCTA
|
576 |
+
- ▁KHALI
|
577 |
+
- OPH
|
578 |
+
- ▁STEP
|
579 |
+
- ▁WEST
|
580 |
+
- ▁SEUNG
|
581 |
+
- HIM
|
582 |
+
- ▁FERNAND
|
583 |
+
- LESTARI
|
584 |
+
- ▁RY
|
585 |
+
- SCAR
|
586 |
+
- REGAR
|
587 |
+
- AMIR
|
588 |
+
- SAPUTRA
|
589 |
+
- ▁AGNES
|
590 |
+
- ▁MULYA
|
591 |
+
- HONY
|
592 |
+
- AFFLE
|
593 |
+
- ▁PERSI
|
594 |
+
- ▁CHE
|
595 |
+
- OLIVIA
|
596 |
+
- ▁SALMA
|
597 |
+
- ▁RONAL
|
598 |
+
- HOPE
|
599 |
+
- HUN
|
600 |
+
- ▁ROSE
|
601 |
+
- ILARI
|
602 |
+
- ▁KRISTEN
|
603 |
+
- ▁NOVITA
|
604 |
+
- ▁KAKA
|
605 |
+
- AMIL
|
606 |
+
- ▁RON
|
607 |
+
- ▁CITA
|
608 |
+
- ALBAR
|
609 |
+
- ▁VIR
|
610 |
+
- ▁FENI
|
611 |
+
- IOR
|
612 |
+
- ▁LED
|
613 |
+
- ▁ELVI
|
614 |
+
- ▁YOON
|
615 |
+
- ▁RIDWAN
|
616 |
+
- ▁RAF
|
617 |
+
- ▁ASTRI
|
618 |
+
- ▁DUA
|
619 |
+
- ▁MILL
|
620 |
+
- ▁DES
|
621 |
+
- IEF
|
622 |
+
- ▁TAM
|
623 |
+
- ▁ROY
|
624 |
+
- ▁KOES
|
625 |
+
- SUMA
|
626 |
+
- ▁CHIN
|
627 |
+
- ▁ROD
|
628 |
+
- ▁PIT
|
629 |
+
- KARNA
|
630 |
+
- LANK
|
631 |
+
- ▁YAYAN
|
632 |
+
- ▁BIG
|
633 |
+
- ▁ANIS
|
634 |
+
- OHANG
|
635 |
+
- QI
|
636 |
+
- ▁ALAM
|
637 |
+
- ▁MEG
|
638 |
+
- MAHE
|
639 |
+
- OWO
|
640 |
+
- ▁DOMIN
|
641 |
+
- ▁CHER
|
642 |
+
- IMBERL
|
643 |
+
- INTAN
|
644 |
+
- MORE
|
645 |
+
- ▁SUKA
|
646 |
+
- ▁NINI
|
647 |
+
- ▁STEFAN
|
648 |
+
- ▁CASE
|
649 |
+
- NAJ
|
650 |
+
- SEUEUR
|
651 |
+
- STER
|
652 |
+
- ▁JORDAN
|
653 |
+
- ▁ARIF
|
654 |
+
- ▁KIRAN
|
655 |
+
- YAKI
|
656 |
+
- ETTI
|
657 |
+
- ▁YUNG
|
658 |
+
- ASIH
|
659 |
+
- ▁SHEI
|
660 |
+
- QUE
|
661 |
+
- ▁STEV
|
662 |
+
- ▁VER
|
663 |
+
- MAJA
|
664 |
+
- ▁WAHYU
|
665 |
+
- ▁MICHE
|
666 |
+
- ▁BIMB
|
667 |
+
- HAB
|
668 |
+
- ▁BAHA
|
669 |
+
- ▁CAME
|
670 |
+
- ▁ALEXAND
|
671 |
+
- ▁ZAC
|
672 |
+
- ▁FRED
|
673 |
+
- ▁PIER
|
674 |
+
- ▁PINK
|
675 |
+
- ▁THOM
|
676 |
+
- ▁DJ
|
677 |
+
- ▁EMIL
|
678 |
+
- GIE
|
679 |
+
- ▁NICO
|
680 |
+
- ▁RUS
|
681 |
+
- ▁INDONESIA
|
682 |
+
- ▁KURNIA
|
683 |
+
- ▁FITRI
|
684 |
+
- IKO
|
685 |
+
- YANA
|
686 |
+
- ▁BOW
|
687 |
+
- LETT
|
688 |
+
- ▁HOL
|
689 |
+
- ▁MONA
|
690 |
+
- ▁ANDY
|
691 |
+
- GHAZ
|
692 |
+
- ▁MAG
|
693 |
+
- ▁NAD
|
694 |
+
- LANA
|
695 |
+
- ESIH
|
696 |
+
- ASMI
|
697 |
+
- ▁ARMAND
|
698 |
+
- ▁ADE
|
699 |
+
- DJA
|
700 |
+
- OVA
|
701 |
+
- AURE
|
702 |
+
- KUMAH
|
703 |
+
- ▁DANU
|
704 |
+
- ▁JERE
|
705 |
+
- ▁KIM
|
706 |
+
- ▁HAZ
|
707 |
+
- ▁GAL
|
708 |
+
- DANE
|
709 |
+
- ▁LEV
|
710 |
+
- ▁AMIN
|
711 |
+
- IBRA
|
712 |
+
- ▁MELAN
|
713 |
+
- ▁LOUIS
|
714 |
+
- ▁PURNAMA
|
715 |
+
- CENT
|
716 |
+
- ▁BRAMA
|
717 |
+
- ▁DANANG
|
718 |
+
- ▁DEVI
|
719 |
+
- ▁RANGGA
|
720 |
+
- ▁IQBA
|
721 |
+
- ▁POPP
|
722 |
+
- AYN
|
723 |
+
- HETT
|
724 |
+
- ▁DIMAS
|
725 |
+
- ▁MAND
|
726 |
+
- ▁NGAL
|
727 |
+
- ▁AGU
|
728 |
+
- ▁IVAN
|
729 |
+
- ▁FANN
|
730 |
+
- ▁IB
|
731 |
+
- ▁CLARK
|
732 |
+
- ▁HERMAN
|
733 |
+
- ▁ANA
|
734 |
+
- RELL
|
735 |
+
- LIAM
|
736 |
+
- LENN
|
737 |
+
- USSY
|
738 |
+
- ▁AHAD
|
739 |
+
- ▁RIRI
|
740 |
+
- OVI
|
741 |
+
- NTEN
|
742 |
+
- BRATA
|
743 |
+
- RID
|
744 |
+
- ▁ANNI
|
745 |
+
- ▁HERLIN
|
746 |
+
- ▁SULISTY
|
747 |
+
- SUHU
|
748 |
+
- ▁ANDRE
|
749 |
+
- ▁SENEN
|
750 |
+
- ▁NAND
|
751 |
+
- NAGARA
|
752 |
+
- ▁ANGGA
|
753 |
+
- ▁KRIST
|
754 |
+
- ACH
|
755 |
+
- PIRANG
|
756 |
+
- NDER
|
757 |
+
- DARI
|
758 |
+
- JUNG
|
759 |
+
- STADI
|
760 |
+
- ▁SALASA
|
761 |
+
- RLAND
|
762 |
+
- ▁NGOPI
|
763 |
+
- ▁JUMAAH
|
764 |
+
- ▁MANG
|
765 |
+
- RANI
|
766 |
+
- DHI
|
767 |
+
- ▁RAMADHAN
|
768 |
+
- ▁KIR
|
769 |
+
- ▁RATUS
|
770 |
+
- ▁AISH
|
771 |
+
- DIANA
|
772 |
+
- ▁MINGGON
|
773 |
+
- ▁KEMIS
|
774 |
+
- ▁LEO
|
775 |
+
- ASHI
|
776 |
+
- ▁SHAN
|
777 |
+
- ▁BANDUNG
|
778 |
+
- ▁IWA
|
779 |
+
- ▁PANTAI
|
780 |
+
- WEN
|
781 |
+
- ▁AWAK
|
782 |
+
- ▁PRESIDEN
|
783 |
+
- ▁NIR
|
784 |
+
- ▁MANCA
|
785 |
+
- ▁SAPTU
|
786 |
+
- CHA
|
787 |
+
- ▁KARD
|
788 |
+
- NTUH
|
789 |
+
- ▁MUSE
|
790 |
+
- STASI
|
791 |
+
- KMAN
|
792 |
+
- ▁FANS
|
793 |
+
- ▁ANYAR
|
794 |
+
- ▁ABI
|
795 |
+
- NGIR
|
796 |
+
- ▁DONGKAP
|
797 |
+
- '5'
|
798 |
+
- NGSI
|
799 |
+
- Q
|
800 |
+
- ▁PROPERT
|
801 |
+
- ▁NYIA
|
802 |
+
- NGGIH
|
803 |
+
- ▁DIDAMEL
|
804 |
+
- ▁NASIONAL
|
805 |
+
- OLI
|
806 |
+
- ▁KAAYA
|
807 |
+
- ▁KYL
|
808 |
+
- ▁UJANG
|
809 |
+
- ▁PENGG
|
810 |
+
- ▁POSTER
|
811 |
+
- ▁IEU
|
812 |
+
- IMAH
|
813 |
+
- ANDRY
|
814 |
+
- ▁KAGIATAN
|
815 |
+
- ▁KABUL
|
816 |
+
- ARIM
|
817 |
+
- ▁RUPIAH
|
818 |
+
- CAGE
|
819 |
+
- ▁MUSI
|
820 |
+
- ▁PART
|
821 |
+
- IBURAN
|
822 |
+
- ▁GAGA
|
823 |
+
- SUF
|
824 |
+
- ▁EFFE
|
825 |
+
- GEND
|
826 |
+
- ▁BLACK
|
827 |
+
- ▁ALBA
|
828 |
+
- ▁KUNC
|
829 |
+
- ▁VALEN
|
830 |
+
- IJAH
|
831 |
+
- ▁ANTARA
|
832 |
+
- OODY
|
833 |
+
- JOL
|
834 |
+
- ▁FOO
|
835 |
+
- ▁POLAND
|
836 |
+
- ▁METAL
|
837 |
+
- HYUN
|
838 |
+
- ADONA
|
839 |
+
- ▁ALEXA
|
840 |
+
- ARTI
|
841 |
+
- ▁BUSH
|
842 |
+
- ▁NORT
|
843 |
+
- LICA
|
844 |
+
- ▁GAMBAR
|
845 |
+
- ▁DOWN
|
846 |
+
- ▁QUEEN
|
847 |
+
- ▁STREE
|
848 |
+
- ▁CUT
|
849 |
+
- ▁BROK
|
850 |
+
- BEG
|
851 |
+
- ▁STAN
|
852 |
+
- ▁QUI
|
853 |
+
- GBA
|
854 |
+
- LEVI
|
855 |
+
- RIGHT
|
856 |
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857 |
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858 |
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859 |
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|
860 |
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861 |
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862 |
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863 |
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864 |
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865 |
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866 |
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867 |
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870 |
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874 |
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875 |
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877 |
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878 |
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879 |
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880 |
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881 |
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882 |
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883 |
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885 |
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1017 |
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1018 |
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1019 |
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1020 |
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1021 |
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1022 |
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1023 |
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1024 |
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1025 |
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1026 |
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1027 |
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1028 |
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1029 |
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1030 |
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1031 |
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1032 |
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1033 |
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1034 |
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1035 |
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1036 |
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1037 |
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1038 |
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1039 |
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1040 |
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1041 |
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1042 |
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1043 |
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1044 |
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1045 |
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1046 |
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1047 |
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1048 |
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1050 |
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1051 |
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1055 |
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1056 |
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1057 |
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1058 |
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1059 |
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1060 |
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1061 |
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1062 |
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1063 |
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1065 |
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1069 |
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1075 |
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1077 |
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1078 |
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1079 |
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1080 |
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1081 |
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1082 |
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1083 |
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1084 |
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1085 |
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|
1086 |
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|
1087 |
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1088 |
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|
1089 |
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|
1090 |
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|
1091 |
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1092 |
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|
1093 |
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|
1094 |
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1095 |
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1096 |
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1097 |
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1098 |
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1099 |
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1100 |
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1101 |
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|
1102 |
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1103 |
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|
1104 |
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|
1105 |
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|
1106 |
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|
1107 |
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|
1108 |
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|
1109 |
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init: chainer
|
1110 |
+
input_size: null
|
1111 |
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ctc_conf:
|
1112 |
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dropout_rate: 0.0
|
1113 |
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ctc_type: builtin
|
1114 |
+
reduce: true
|
1115 |
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ignore_nan_grad: true
|
1116 |
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model_conf:
|
1117 |
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ctc_weight: 0.3
|
1118 |
+
lsm_weight: 0.1
|
1119 |
+
length_normalized_loss: false
|
1120 |
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use_preprocessor: true
|
1121 |
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token_type: bpe
|
1122 |
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bpemodel: data/token_list/bpe_unigram1000/bpe.model
|
1123 |
+
non_linguistic_symbols: null
|
1124 |
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cleaner: null
|
1125 |
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g2p: null
|
1126 |
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speech_volume_normalize: null
|
1127 |
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rir_scp: null
|
1128 |
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rir_apply_prob: 1.0
|
1129 |
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noise_scp: null
|
1130 |
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noise_apply_prob: 1.0
|
1131 |
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noise_db_range: '13_15'
|
1132 |
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frontend: default
|
1133 |
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frontend_conf:
|
1134 |
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fs: 16k
|
1135 |
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specaug: null
|
1136 |
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specaug_conf: {}
|
1137 |
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normalize: global_mvn
|
1138 |
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normalize_conf:
|
1139 |
+
stats_file: exp/asr_stats_raw_bpe1000/train/feats_stats.npz
|
1140 |
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preencoder: null
|
1141 |
+
preencoder_conf: {}
|
1142 |
+
encoder: transformer
|
1143 |
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encoder_conf:
|
1144 |
+
input_layer: conv2d
|
1145 |
+
num_blocks: 12
|
1146 |
+
linear_units: 2048
|
1147 |
+
dropout_rate: 0.1
|
1148 |
+
output_size: 256
|
1149 |
+
attention_heads: 4
|
1150 |
+
attention_dropout_rate: 0.0
|
1151 |
+
decoder: transformer
|
1152 |
+
decoder_conf:
|
1153 |
+
input_layer: embed
|
1154 |
+
num_blocks: 6
|
1155 |
+
linear_units: 2048
|
1156 |
+
dropout_rate: 0.1
|
1157 |
+
required:
|
1158 |
+
- output_dir
|
1159 |
+
- token_list
|
1160 |
+
version: 0.9.10
|
1161 |
+
distributed: true
|
exp/asr_train_asr_raw_bpe1000/images/acc.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/backward_time.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/cer.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/cer_ctc.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/forward_time.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/gpu_max_cached_mem_GB.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/iter_time.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/loss.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/loss_att.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/loss_ctc.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/optim0_lr0.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/optim_step_time.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/train_time.png
ADDED
exp/asr_train_asr_raw_bpe1000/images/wer.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
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|
|
|
|
1 |
+
espnet: 0.10.0
|
2 |
+
files:
|
3 |
+
asr_model_file: exp/asr_train_asr_raw_bpe1000/196epoch.pth
|
4 |
+
python: "3.8.5 (default, Sep 4 2020, 07:30:14) \n[GCC 7.3.0]"
|
5 |
+
timestamp: 1625888611.903976
|
6 |
+
torch: 1.8.1+cu102
|
7 |
+
yaml_files:
|
8 |
+
asr_train_config: exp/asr_train_asr_raw_bpe1000/config.yaml
|