Update model
Browse files- README.md +338 -0
- exp/asr_train_asr_raw_en_word_sp/RESULTS.md +29 -0
- exp/asr_train_asr_raw_en_word_sp/config.yaml +240 -0
- exp/asr_train_asr_raw_en_word_sp/images/acc.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/backward_time.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/cer.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/cer_ctc.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/cer_transducer.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/forward_time.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/iter_time.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/loss.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/loss_att.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/loss_ctc.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/loss_transducer.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/optim0_lr0.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/optim_step_time.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/train_time.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/wer.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/images/wer_transducer.png +0 -0
- exp/asr_train_asr_raw_en_word_sp/valid.loss.ave_7best.pth +3 -0
- meta.yaml +8 -0
README.md
ADDED
|
@@ -0,0 +1,338 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- espnet
|
| 4 |
+
- audio
|
| 5 |
+
- automatic-speech-recognition
|
| 6 |
+
language: en
|
| 7 |
+
datasets:
|
| 8 |
+
- swbd_da
|
| 9 |
+
license: cc-by-4.0
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
## ESPnet2 ASR model
|
| 13 |
+
|
| 14 |
+
### `akreal/espnet2_swbd_da_hubert_conformer`
|
| 15 |
+
|
| 16 |
+
This model was trained by Pavel Denisov using swbd_da recipe in [espnet](https://github.com/espnet/espnet/).
|
| 17 |
+
|
| 18 |
+
### Demo: How to use in ESPnet2
|
| 19 |
+
|
| 20 |
+
```bash
|
| 21 |
+
cd espnet
|
| 22 |
+
git checkout 08c6efbc6299c972301236625f9abafe087c9f9c
|
| 23 |
+
pip install -e .
|
| 24 |
+
cd egs2/swbd_da/asr1
|
| 25 |
+
./run.sh --skip_data_prep false --skip_train true --download_model akreal/espnet2_swbd_da_hubert_conformer
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
| 29 |
+
# RESULTS
|
| 30 |
+
## Environments
|
| 31 |
+
- date: `Thu Jan 20 19:31:21 CET 2022`
|
| 32 |
+
- python version: `3.8.12 (default, Aug 30 2021, 00:00:00) [GCC 11.2.1 20210728 (Red Hat 11.2.1-1)]`
|
| 33 |
+
- espnet version: `espnet 0.10.6a1`
|
| 34 |
+
- pytorch version: `pytorch 1.10.1+cu113`
|
| 35 |
+
- Git hash: `08c6efbc6299c972301236625f9abafe087c9f9c`
|
| 36 |
+
- Commit date: `Tue Jan 4 13:40:33 2022 +0100`
|
| 37 |
+
|
| 38 |
+
## asr_train_asr_raw_en_word_sp
|
| 39 |
+
### WER
|
| 40 |
+
|
| 41 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
| 42 |
+
|---|---|---|---|---|---|---|---|---|
|
| 43 |
+
|decode_asr_asr_model_valid.loss.ave/test_context3|2379|2379|66.3|33.7|0.0|0.0|33.7|33.7|
|
| 44 |
+
|decode_asr_asr_model_valid.loss.ave/valid_context3|8116|8116|69.5|30.5|0.0|0.0|30.5|30.5|
|
| 45 |
+
|
| 46 |
+
### CER
|
| 47 |
+
|
| 48 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
| 49 |
+
|---|---|---|---|---|---|---|---|---|
|
| 50 |
+
|decode_asr_asr_model_valid.loss.ave/test_context3|2379|19440|76.1|17.7|6.2|8.1|32.0|33.7|
|
| 51 |
+
|decode_asr_asr_model_valid.loss.ave/valid_context3|8116|66353|79.5|16.1|4.4|8.0|28.5|30.5|
|
| 52 |
+
|
| 53 |
+
### TER
|
| 54 |
+
|
| 55 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
| 56 |
+
|---|---|---|---|---|---|---|---|---|
|
| 57 |
+
|
| 58 |
+
## ASR config
|
| 59 |
+
|
| 60 |
+
<details><summary>expand</summary>
|
| 61 |
+
|
| 62 |
+
```
|
| 63 |
+
config: conf/tuning/train_asr_conformer_hubert_context3.yaml
|
| 64 |
+
print_config: false
|
| 65 |
+
log_level: INFO
|
| 66 |
+
dry_run: false
|
| 67 |
+
iterator_type: sequence
|
| 68 |
+
output_dir: exp/asr_train_asr_conformer_hubert_context3_raw_en_word_sp
|
| 69 |
+
ngpu: 1
|
| 70 |
+
seed: 0
|
| 71 |
+
num_workers: 1
|
| 72 |
+
num_att_plot: 3
|
| 73 |
+
dist_backend: nccl
|
| 74 |
+
dist_init_method: env://
|
| 75 |
+
dist_world_size: null
|
| 76 |
+
dist_rank: null
|
| 77 |
+
local_rank: 0
|
| 78 |
+
dist_master_addr: null
|
| 79 |
+
dist_master_port: null
|
| 80 |
+
dist_launcher: null
|
| 81 |
+
multiprocessing_distributed: false
|
| 82 |
+
unused_parameters: false
|
| 83 |
+
sharded_ddp: false
|
| 84 |
+
cudnn_enabled: true
|
| 85 |
+
cudnn_benchmark: false
|
| 86 |
+
cudnn_deterministic: true
|
| 87 |
+
collect_stats: false
|
| 88 |
+
write_collected_feats: false
|
| 89 |
+
max_epoch: 35
|
| 90 |
+
patience: null
|
| 91 |
+
val_scheduler_criterion:
|
| 92 |
+
- valid
|
| 93 |
+
- loss
|
| 94 |
+
early_stopping_criterion:
|
| 95 |
+
- valid
|
| 96 |
+
- loss
|
| 97 |
+
- min
|
| 98 |
+
best_model_criterion:
|
| 99 |
+
- - valid
|
| 100 |
+
- loss
|
| 101 |
+
- min
|
| 102 |
+
keep_nbest_models: 7
|
| 103 |
+
nbest_averaging_interval: 0
|
| 104 |
+
grad_clip: 5.0
|
| 105 |
+
grad_clip_type: 2.0
|
| 106 |
+
grad_noise: false
|
| 107 |
+
accum_grad: 1
|
| 108 |
+
no_forward_run: false
|
| 109 |
+
resume: true
|
| 110 |
+
train_dtype: float32
|
| 111 |
+
use_amp: false
|
| 112 |
+
log_interval: null
|
| 113 |
+
use_matplotlib: true
|
| 114 |
+
use_tensorboard: true
|
| 115 |
+
use_wandb: false
|
| 116 |
+
wandb_project: null
|
| 117 |
+
wandb_id: null
|
| 118 |
+
wandb_entity: null
|
| 119 |
+
wandb_name: null
|
| 120 |
+
wandb_model_log_interval: -1
|
| 121 |
+
detect_anomaly: false
|
| 122 |
+
pretrain_path: null
|
| 123 |
+
init_param: []
|
| 124 |
+
ignore_init_mismatch: false
|
| 125 |
+
freeze_param:
|
| 126 |
+
- frontend.upstream
|
| 127 |
+
num_iters_per_epoch: null
|
| 128 |
+
batch_size: 20
|
| 129 |
+
valid_batch_size: null
|
| 130 |
+
batch_bins: 4000000
|
| 131 |
+
valid_batch_bins: null
|
| 132 |
+
train_shape_file:
|
| 133 |
+
- exp/asr_stats_context3_raw_en_word_sp/train/speech_shape
|
| 134 |
+
- exp/asr_stats_context3_raw_en_word_sp/train/text_shape.word
|
| 135 |
+
valid_shape_file:
|
| 136 |
+
- exp/asr_stats_context3_raw_en_word_sp/valid/speech_shape
|
| 137 |
+
- exp/asr_stats_context3_raw_en_word_sp/valid/text_shape.word
|
| 138 |
+
batch_type: numel
|
| 139 |
+
valid_batch_type: null
|
| 140 |
+
fold_length:
|
| 141 |
+
- 80000
|
| 142 |
+
- 150
|
| 143 |
+
sort_in_batch: descending
|
| 144 |
+
sort_batch: descending
|
| 145 |
+
multiple_iterator: false
|
| 146 |
+
chunk_length: 500
|
| 147 |
+
chunk_shift_ratio: 0.5
|
| 148 |
+
num_cache_chunks: 1024
|
| 149 |
+
train_data_path_and_name_and_type:
|
| 150 |
+
- - dump/raw/train_context3_sp/wav.scp
|
| 151 |
+
- speech
|
| 152 |
+
- sound
|
| 153 |
+
- - dump/raw/train_context3_sp/text
|
| 154 |
+
- text
|
| 155 |
+
- text
|
| 156 |
+
valid_data_path_and_name_and_type:
|
| 157 |
+
- - dump/raw/valid_context3/wav.scp
|
| 158 |
+
- speech
|
| 159 |
+
- sound
|
| 160 |
+
- - dump/raw/valid_context3/text
|
| 161 |
+
- text
|
| 162 |
+
- text
|
| 163 |
+
allow_variable_data_keys: false
|
| 164 |
+
max_cache_size: 0.0
|
| 165 |
+
max_cache_fd: 32
|
| 166 |
+
valid_max_cache_size: null
|
| 167 |
+
optim: adam
|
| 168 |
+
optim_conf:
|
| 169 |
+
lr: 0.0001
|
| 170 |
+
scheduler: warmuplr
|
| 171 |
+
scheduler_conf:
|
| 172 |
+
warmup_steps: 25000
|
| 173 |
+
token_list:
|
| 174 |
+
- <blank>
|
| 175 |
+
- <unk>
|
| 176 |
+
- statement
|
| 177 |
+
- backchannel
|
| 178 |
+
- opinion
|
| 179 |
+
- abandon
|
| 180 |
+
- agree
|
| 181 |
+
- yn_q
|
| 182 |
+
- apprec
|
| 183 |
+
- 'yes'
|
| 184 |
+
- uninterp
|
| 185 |
+
- close
|
| 186 |
+
- wh_q
|
| 187 |
+
- acknowledge
|
| 188 |
+
- 'no'
|
| 189 |
+
- yn_decl_q
|
| 190 |
+
- hedge
|
| 191 |
+
- backchannel_q
|
| 192 |
+
- sum
|
| 193 |
+
- quote
|
| 194 |
+
- affirm
|
| 195 |
+
- other
|
| 196 |
+
- directive
|
| 197 |
+
- repeat
|
| 198 |
+
- open_q
|
| 199 |
+
- completion
|
| 200 |
+
- rhet_q
|
| 201 |
+
- hold
|
| 202 |
+
- reject
|
| 203 |
+
- answer
|
| 204 |
+
- neg
|
| 205 |
+
- ans_dispref
|
| 206 |
+
- repeat_q
|
| 207 |
+
- open
|
| 208 |
+
- or
|
| 209 |
+
- commit
|
| 210 |
+
- maybe
|
| 211 |
+
- decl_q
|
| 212 |
+
- third_pty
|
| 213 |
+
- self_talk
|
| 214 |
+
- thank
|
| 215 |
+
- apology
|
| 216 |
+
- tag_q
|
| 217 |
+
- downplay
|
| 218 |
+
- <sos/eos>
|
| 219 |
+
init: null
|
| 220 |
+
input_size: null
|
| 221 |
+
ctc_conf:
|
| 222 |
+
dropout_rate: 0.0
|
| 223 |
+
ctc_type: builtin
|
| 224 |
+
reduce: true
|
| 225 |
+
ignore_nan_grad: true
|
| 226 |
+
joint_net_conf: null
|
| 227 |
+
model_conf:
|
| 228 |
+
ctc_weight: 0.0
|
| 229 |
+
extract_feats_in_collect_stats: false
|
| 230 |
+
use_preprocessor: true
|
| 231 |
+
token_type: word
|
| 232 |
+
bpemodel: null
|
| 233 |
+
non_linguistic_symbols: null
|
| 234 |
+
cleaner: null
|
| 235 |
+
g2p: null
|
| 236 |
+
speech_volume_normalize: null
|
| 237 |
+
rir_scp: null
|
| 238 |
+
rir_apply_prob: 1.0
|
| 239 |
+
noise_scp: null
|
| 240 |
+
noise_apply_prob: 1.0
|
| 241 |
+
noise_db_range: '13_15'
|
| 242 |
+
frontend: s3prl
|
| 243 |
+
frontend_conf:
|
| 244 |
+
frontend_conf:
|
| 245 |
+
upstream: hubert_large_ll60k
|
| 246 |
+
download_dir: ./hub
|
| 247 |
+
multilayer_feature: true
|
| 248 |
+
fs: 16k
|
| 249 |
+
specaug: specaug
|
| 250 |
+
specaug_conf:
|
| 251 |
+
apply_time_warp: true
|
| 252 |
+
time_warp_window: 5
|
| 253 |
+
time_warp_mode: bicubic
|
| 254 |
+
apply_freq_mask: true
|
| 255 |
+
freq_mask_width_range:
|
| 256 |
+
- 0
|
| 257 |
+
- 30
|
| 258 |
+
num_freq_mask: 2
|
| 259 |
+
apply_time_mask: true
|
| 260 |
+
time_mask_width_range:
|
| 261 |
+
- 0
|
| 262 |
+
- 40
|
| 263 |
+
num_time_mask: 2
|
| 264 |
+
normalize: utterance_mvn
|
| 265 |
+
normalize_conf: {}
|
| 266 |
+
preencoder: linear
|
| 267 |
+
preencoder_conf:
|
| 268 |
+
input_size: 1024
|
| 269 |
+
output_size: 80
|
| 270 |
+
encoder: conformer
|
| 271 |
+
encoder_conf:
|
| 272 |
+
output_size: 512
|
| 273 |
+
attention_heads: 8
|
| 274 |
+
linear_units: 2048
|
| 275 |
+
num_blocks: 12
|
| 276 |
+
dropout_rate: 0.1
|
| 277 |
+
positional_dropout_rate: 0.1
|
| 278 |
+
attention_dropout_rate: 0.1
|
| 279 |
+
input_layer: conv2d
|
| 280 |
+
normalize_before: true
|
| 281 |
+
macaron_style: true
|
| 282 |
+
pos_enc_layer_type: rel_pos
|
| 283 |
+
selfattention_layer_type: rel_selfattn
|
| 284 |
+
activation_type: swish
|
| 285 |
+
use_cnn_module: true
|
| 286 |
+
cnn_module_kernel: 31
|
| 287 |
+
postencoder: null
|
| 288 |
+
postencoder_conf: {}
|
| 289 |
+
decoder: transformer
|
| 290 |
+
decoder_conf:
|
| 291 |
+
attention_heads: 8
|
| 292 |
+
linear_units: 2048
|
| 293 |
+
num_blocks: 6
|
| 294 |
+
dropout_rate: 0.1
|
| 295 |
+
positional_dropout_rate: 0.1
|
| 296 |
+
self_attention_dropout_rate: 0.1
|
| 297 |
+
src_attention_dropout_rate: 0.1
|
| 298 |
+
required:
|
| 299 |
+
- output_dir
|
| 300 |
+
- token_list
|
| 301 |
+
version: 0.10.5a1
|
| 302 |
+
distributed: false
|
| 303 |
+
```
|
| 304 |
+
|
| 305 |
+
</details>
|
| 306 |
+
|
| 307 |
+
|
| 308 |
+
|
| 309 |
+
### Citing ESPnet
|
| 310 |
+
|
| 311 |
+
```BibTex
|
| 312 |
+
@inproceedings{watanabe2018espnet,
|
| 313 |
+
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},
|
| 314 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
| 315 |
+
year={2018},
|
| 316 |
+
booktitle={Proceedings of Interspeech},
|
| 317 |
+
pages={2207--2211},
|
| 318 |
+
doi={10.21437/Interspeech.2018-1456},
|
| 319 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
| 320 |
+
}
|
| 321 |
+
|
| 322 |
+
|
| 323 |
+
|
| 324 |
+
|
| 325 |
+
```
|
| 326 |
+
|
| 327 |
+
or arXiv:
|
| 328 |
+
|
| 329 |
+
```bibtex
|
| 330 |
+
@misc{watanabe2018espnet,
|
| 331 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
| 332 |
+
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},
|
| 333 |
+
year={2018},
|
| 334 |
+
eprint={1804.00015},
|
| 335 |
+
archivePrefix={arXiv},
|
| 336 |
+
primaryClass={cs.CL}
|
| 337 |
+
}
|
| 338 |
+
```
|
exp/asr_train_asr_raw_en_word_sp/RESULTS.md
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
| 2 |
+
# RESULTS
|
| 3 |
+
## Environments
|
| 4 |
+
- date: `Thu Jan 20 19:24:54 CET 2022`
|
| 5 |
+
- python version: `3.8.12 (default, Aug 30 2021, 00:00:00) [GCC 11.2.1 20210728 (Red Hat 11.2.1-1)]`
|
| 6 |
+
- espnet version: `espnet 0.10.6a1`
|
| 7 |
+
- pytorch version: `pytorch 1.10.1+cu113`
|
| 8 |
+
- Git hash: `08c6efbc6299c972301236625f9abafe087c9f9c`
|
| 9 |
+
- Commit date: `Tue Jan 4 13:40:33 2022 +0100`
|
| 10 |
+
|
| 11 |
+
## asr_train_asr_raw_en_word_sp
|
| 12 |
+
### WER
|
| 13 |
+
|
| 14 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
| 15 |
+
|---|---|---|---|---|---|---|---|---|
|
| 16 |
+
|decode_asr_asr_model_valid.loss.ave/test_context3|2379|2379|66.3|33.7|0.0|0.0|33.7|33.7|
|
| 17 |
+
|decode_asr_asr_model_valid.loss.ave/valid_context3|8116|8116|69.5|30.5|0.0|0.0|30.5|30.5|
|
| 18 |
+
|
| 19 |
+
### CER
|
| 20 |
+
|
| 21 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
| 22 |
+
|---|---|---|---|---|---|---|---|---|
|
| 23 |
+
|decode_asr_asr_model_valid.loss.ave/test_context3|2379|19440|76.1|17.7|6.2|8.1|32.0|33.7|
|
| 24 |
+
|decode_asr_asr_model_valid.loss.ave/valid_context3|8116|66353|79.5|16.1|4.4|8.0|28.5|30.5|
|
| 25 |
+
|
| 26 |
+
### TER
|
| 27 |
+
|
| 28 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
| 29 |
+
|---|---|---|---|---|---|---|---|---|
|
exp/asr_train_asr_raw_en_word_sp/config.yaml
ADDED
|
@@ -0,0 +1,240 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
config: conf/tuning/train_asr_conformer_hubert_context3.yaml
|
| 2 |
+
print_config: false
|
| 3 |
+
log_level: INFO
|
| 4 |
+
dry_run: false
|
| 5 |
+
iterator_type: sequence
|
| 6 |
+
output_dir: exp/asr_train_asr_conformer_hubert_context3_raw_en_word_sp
|
| 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: null
|
| 14 |
+
dist_rank: null
|
| 15 |
+
local_rank: 0
|
| 16 |
+
dist_master_addr: null
|
| 17 |
+
dist_master_port: null
|
| 18 |
+
dist_launcher: null
|
| 19 |
+
multiprocessing_distributed: false
|
| 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: 35
|
| 28 |
+
patience: null
|
| 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 |
+
- loss
|
| 39 |
+
- min
|
| 40 |
+
keep_nbest_models: 7
|
| 41 |
+
nbest_averaging_interval: 0
|
| 42 |
+
grad_clip: 5.0
|
| 43 |
+
grad_clip_type: 2.0
|
| 44 |
+
grad_noise: false
|
| 45 |
+
accum_grad: 1
|
| 46 |
+
no_forward_run: false
|
| 47 |
+
resume: true
|
| 48 |
+
train_dtype: float32
|
| 49 |
+
use_amp: false
|
| 50 |
+
log_interval: null
|
| 51 |
+
use_matplotlib: true
|
| 52 |
+
use_tensorboard: true
|
| 53 |
+
use_wandb: false
|
| 54 |
+
wandb_project: null
|
| 55 |
+
wandb_id: null
|
| 56 |
+
wandb_entity: null
|
| 57 |
+
wandb_name: null
|
| 58 |
+
wandb_model_log_interval: -1
|
| 59 |
+
detect_anomaly: false
|
| 60 |
+
pretrain_path: null
|
| 61 |
+
init_param: []
|
| 62 |
+
ignore_init_mismatch: false
|
| 63 |
+
freeze_param:
|
| 64 |
+
- frontend.upstream
|
| 65 |
+
num_iters_per_epoch: null
|
| 66 |
+
batch_size: 20
|
| 67 |
+
valid_batch_size: null
|
| 68 |
+
batch_bins: 4000000
|
| 69 |
+
valid_batch_bins: null
|
| 70 |
+
train_shape_file:
|
| 71 |
+
- exp/asr_stats_context3_raw_en_word_sp/train/speech_shape
|
| 72 |
+
- exp/asr_stats_context3_raw_en_word_sp/train/text_shape.word
|
| 73 |
+
valid_shape_file:
|
| 74 |
+
- exp/asr_stats_context3_raw_en_word_sp/valid/speech_shape
|
| 75 |
+
- exp/asr_stats_context3_raw_en_word_sp/valid/text_shape.word
|
| 76 |
+
batch_type: numel
|
| 77 |
+
valid_batch_type: null
|
| 78 |
+
fold_length:
|
| 79 |
+
- 80000
|
| 80 |
+
- 150
|
| 81 |
+
sort_in_batch: descending
|
| 82 |
+
sort_batch: descending
|
| 83 |
+
multiple_iterator: false
|
| 84 |
+
chunk_length: 500
|
| 85 |
+
chunk_shift_ratio: 0.5
|
| 86 |
+
num_cache_chunks: 1024
|
| 87 |
+
train_data_path_and_name_and_type:
|
| 88 |
+
- - dump/raw/train_context3_sp/wav.scp
|
| 89 |
+
- speech
|
| 90 |
+
- sound
|
| 91 |
+
- - dump/raw/train_context3_sp/text
|
| 92 |
+
- text
|
| 93 |
+
- text
|
| 94 |
+
valid_data_path_and_name_and_type:
|
| 95 |
+
- - dump/raw/valid_context3/wav.scp
|
| 96 |
+
- speech
|
| 97 |
+
- sound
|
| 98 |
+
- - dump/raw/valid_context3/text
|
| 99 |
+
- text
|
| 100 |
+
- text
|
| 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: 0.0001
|
| 108 |
+
scheduler: warmuplr
|
| 109 |
+
scheduler_conf:
|
| 110 |
+
warmup_steps: 25000
|
| 111 |
+
token_list:
|
| 112 |
+
- <blank>
|
| 113 |
+
- <unk>
|
| 114 |
+
- statement
|
| 115 |
+
- backchannel
|
| 116 |
+
- opinion
|
| 117 |
+
- abandon
|
| 118 |
+
- agree
|
| 119 |
+
- yn_q
|
| 120 |
+
- apprec
|
| 121 |
+
- 'yes'
|
| 122 |
+
- uninterp
|
| 123 |
+
- close
|
| 124 |
+
- wh_q
|
| 125 |
+
- acknowledge
|
| 126 |
+
- 'no'
|
| 127 |
+
- yn_decl_q
|
| 128 |
+
- hedge
|
| 129 |
+
- backchannel_q
|
| 130 |
+
- sum
|
| 131 |
+
- quote
|
| 132 |
+
- affirm
|
| 133 |
+
- other
|
| 134 |
+
- directive
|
| 135 |
+
- repeat
|
| 136 |
+
- open_q
|
| 137 |
+
- completion
|
| 138 |
+
- rhet_q
|
| 139 |
+
- hold
|
| 140 |
+
- reject
|
| 141 |
+
- answer
|
| 142 |
+
- neg
|
| 143 |
+
- ans_dispref
|
| 144 |
+
- repeat_q
|
| 145 |
+
- open
|
| 146 |
+
- or
|
| 147 |
+
- commit
|
| 148 |
+
- maybe
|
| 149 |
+
- decl_q
|
| 150 |
+
- third_pty
|
| 151 |
+
- self_talk
|
| 152 |
+
- thank
|
| 153 |
+
- apology
|
| 154 |
+
- tag_q
|
| 155 |
+
- downplay
|
| 156 |
+
- <sos/eos>
|
| 157 |
+
init: null
|
| 158 |
+
input_size: null
|
| 159 |
+
ctc_conf:
|
| 160 |
+
dropout_rate: 0.0
|
| 161 |
+
ctc_type: builtin
|
| 162 |
+
reduce: true
|
| 163 |
+
ignore_nan_grad: true
|
| 164 |
+
joint_net_conf: null
|
| 165 |
+
model_conf:
|
| 166 |
+
ctc_weight: 0.0
|
| 167 |
+
extract_feats_in_collect_stats: false
|
| 168 |
+
use_preprocessor: true
|
| 169 |
+
token_type: word
|
| 170 |
+
bpemodel: null
|
| 171 |
+
non_linguistic_symbols: null
|
| 172 |
+
cleaner: null
|
| 173 |
+
g2p: null
|
| 174 |
+
speech_volume_normalize: null
|
| 175 |
+
rir_scp: null
|
| 176 |
+
rir_apply_prob: 1.0
|
| 177 |
+
noise_scp: null
|
| 178 |
+
noise_apply_prob: 1.0
|
| 179 |
+
noise_db_range: '13_15'
|
| 180 |
+
frontend: s3prl
|
| 181 |
+
frontend_conf:
|
| 182 |
+
frontend_conf:
|
| 183 |
+
upstream: hubert_large_ll60k
|
| 184 |
+
download_dir: ./hub
|
| 185 |
+
multilayer_feature: true
|
| 186 |
+
fs: 16k
|
| 187 |
+
specaug: specaug
|
| 188 |
+
specaug_conf:
|
| 189 |
+
apply_time_warp: true
|
| 190 |
+
time_warp_window: 5
|
| 191 |
+
time_warp_mode: bicubic
|
| 192 |
+
apply_freq_mask: true
|
| 193 |
+
freq_mask_width_range:
|
| 194 |
+
- 0
|
| 195 |
+
- 30
|
| 196 |
+
num_freq_mask: 2
|
| 197 |
+
apply_time_mask: true
|
| 198 |
+
time_mask_width_range:
|
| 199 |
+
- 0
|
| 200 |
+
- 40
|
| 201 |
+
num_time_mask: 2
|
| 202 |
+
normalize: utterance_mvn
|
| 203 |
+
normalize_conf: {}
|
| 204 |
+
preencoder: linear
|
| 205 |
+
preencoder_conf:
|
| 206 |
+
input_size: 1024
|
| 207 |
+
output_size: 80
|
| 208 |
+
encoder: conformer
|
| 209 |
+
encoder_conf:
|
| 210 |
+
output_size: 512
|
| 211 |
+
attention_heads: 8
|
| 212 |
+
linear_units: 2048
|
| 213 |
+
num_blocks: 12
|
| 214 |
+
dropout_rate: 0.1
|
| 215 |
+
positional_dropout_rate: 0.1
|
| 216 |
+
attention_dropout_rate: 0.1
|
| 217 |
+
input_layer: conv2d
|
| 218 |
+
normalize_before: true
|
| 219 |
+
macaron_style: true
|
| 220 |
+
pos_enc_layer_type: rel_pos
|
| 221 |
+
selfattention_layer_type: rel_selfattn
|
| 222 |
+
activation_type: swish
|
| 223 |
+
use_cnn_module: true
|
| 224 |
+
cnn_module_kernel: 31
|
| 225 |
+
postencoder: null
|
| 226 |
+
postencoder_conf: {}
|
| 227 |
+
decoder: transformer
|
| 228 |
+
decoder_conf:
|
| 229 |
+
attention_heads: 8
|
| 230 |
+
linear_units: 2048
|
| 231 |
+
num_blocks: 6
|
| 232 |
+
dropout_rate: 0.1
|
| 233 |
+
positional_dropout_rate: 0.1
|
| 234 |
+
self_attention_dropout_rate: 0.1
|
| 235 |
+
src_attention_dropout_rate: 0.1
|
| 236 |
+
required:
|
| 237 |
+
- output_dir
|
| 238 |
+
- token_list
|
| 239 |
+
version: 0.10.5a1
|
| 240 |
+
distributed: false
|
exp/asr_train_asr_raw_en_word_sp/images/acc.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/backward_time.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/cer.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/cer_ctc.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/cer_transducer.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/forward_time.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/gpu_max_cached_mem_GB.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/iter_time.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/loss.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/loss_att.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/loss_ctc.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/loss_transducer.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/optim0_lr0.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/optim_step_time.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/train_time.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/wer.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/images/wer_transducer.png
ADDED
|
exp/asr_train_asr_raw_en_word_sp/valid.loss.ave_7best.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f90363a91d0bec8dad19f036a0c72a8d223b03846ebf5a55255bde1f7a98ec9c
|
| 3 |
+
size 1701237227
|
meta.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
espnet: 0.10.6a1
|
| 2 |
+
files:
|
| 3 |
+
asr_model_file: exp/asr_train_asr_raw_en_word_sp/valid.loss.ave_7best.pth
|
| 4 |
+
python: "3.8.12 (default, Aug 30 2021, 00:00:00) \n[GCC 11.2.1 20210728 (Red Hat 11.2.1-1)]"
|
| 5 |
+
timestamp: 1642703096.443818
|
| 6 |
+
torch: 1.10.1+cu113
|
| 7 |
+
yaml_files:
|
| 8 |
+
asr_train_config: exp/asr_train_asr_raw_en_word_sp/config.yaml
|