soumi-maiti
commited on
Commit
•
1c70d1a
1
Parent(s):
f5ada96
Update model
Browse files- README.md +350 -0
- exp/diar_enh_stats_8k/train/feats_stats.npz +3 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/57epoch.pth +3 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/DIAR_RESULTS.md +15 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/ENH_RESULTS.md +35 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/config.yaml +277 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/acc.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/backward_time.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/cf.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/der.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/fa.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/forward_time.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/gpu_max_cached_mem_GB.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/iter_time.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss_att.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss_enh.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss_pit.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/mi.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/optim0_lr0.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/optim_step_time.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/sad_fr.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/sad_mr.png +0 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/train_time.png +0 -0
- meta.yaml +8 -0
README.md
ADDED
@@ -0,0 +1,350 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- espnet
|
4 |
+
- audio
|
5 |
+
- diarization
|
6 |
+
language: noinfo
|
7 |
+
datasets:
|
8 |
+
- librimix
|
9 |
+
license: cc-by-4.0
|
10 |
+
---
|
11 |
+
|
12 |
+
## ESPnet2 DIAR model
|
13 |
+
|
14 |
+
### `soumi-maiti/libri2mix_eend_ss`
|
15 |
+
|
16 |
+
This model was trained by soumimaiti using librimix 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 d837c97c88f13ffe655a30bcff93d814f212b225
|
26 |
+
pip install -e .
|
27 |
+
cd egs2/librimix/enh_diar1
|
28 |
+
./run.sh --skip_data_prep false --skip_train true --download_model soumi-maiti/libri2mix_eend_ss
|
29 |
+
```
|
30 |
+
|
31 |
+
|
32 |
+
|
33 |
+
## DIAR config
|
34 |
+
|
35 |
+
<details><summary>expand</summary>
|
36 |
+
|
37 |
+
```
|
38 |
+
config: conf/tuning/train_diar_enh_convtasnet_concat_feats.yaml
|
39 |
+
print_config: false
|
40 |
+
log_level: INFO
|
41 |
+
dry_run: false
|
42 |
+
iterator_type: chunk
|
43 |
+
output_dir: exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
44 |
+
ngpu: 1
|
45 |
+
seed: 0
|
46 |
+
num_workers: 4
|
47 |
+
num_att_plot: 3
|
48 |
+
dist_backend: nccl
|
49 |
+
dist_init_method: env://
|
50 |
+
dist_world_size: 2
|
51 |
+
dist_rank: 0
|
52 |
+
local_rank: 0
|
53 |
+
dist_master_addr: localhost
|
54 |
+
dist_master_port: 54493
|
55 |
+
dist_launcher: null
|
56 |
+
multiprocessing_distributed: true
|
57 |
+
unused_parameters: false
|
58 |
+
sharded_ddp: false
|
59 |
+
cudnn_enabled: true
|
60 |
+
cudnn_benchmark: false
|
61 |
+
cudnn_deterministic: true
|
62 |
+
collect_stats: false
|
63 |
+
write_collected_feats: false
|
64 |
+
max_epoch: 100
|
65 |
+
patience: 50
|
66 |
+
val_scheduler_criterion:
|
67 |
+
- valid
|
68 |
+
- loss
|
69 |
+
early_stopping_criterion:
|
70 |
+
- valid
|
71 |
+
- loss
|
72 |
+
- min
|
73 |
+
best_model_criterion:
|
74 |
+
- - valid
|
75 |
+
- loss_enh
|
76 |
+
- min
|
77 |
+
keep_nbest_models: 1
|
78 |
+
nbest_averaging_interval: 0
|
79 |
+
grad_clip: 5.0
|
80 |
+
grad_clip_type: 2.0
|
81 |
+
grad_noise: false
|
82 |
+
accum_grad: 2
|
83 |
+
no_forward_run: false
|
84 |
+
resume: true
|
85 |
+
train_dtype: float32
|
86 |
+
use_amp: false
|
87 |
+
log_interval: null
|
88 |
+
use_matplotlib: true
|
89 |
+
use_tensorboard: true
|
90 |
+
use_wandb: false
|
91 |
+
wandb_project: null
|
92 |
+
wandb_id: null
|
93 |
+
wandb_entity: null
|
94 |
+
wandb_name: null
|
95 |
+
wandb_model_log_interval: -1
|
96 |
+
detect_anomaly: false
|
97 |
+
pretrain_path: null
|
98 |
+
init_param: []
|
99 |
+
ignore_init_mismatch: false
|
100 |
+
freeze_param: []
|
101 |
+
num_iters_per_epoch: null
|
102 |
+
batch_size: 8
|
103 |
+
valid_batch_size: null
|
104 |
+
batch_bins: 1000000
|
105 |
+
valid_batch_bins: null
|
106 |
+
train_shape_file:
|
107 |
+
- exp/diar_enh_stats_8k/train/speech_shape
|
108 |
+
- exp/diar_enh_stats_8k/train/text_shape
|
109 |
+
- exp/diar_enh_stats_8k/train/speech_ref1_shape
|
110 |
+
- exp/diar_enh_stats_8k/train/speech_ref2_shape
|
111 |
+
- exp/diar_enh_stats_8k/train/noise_ref1_shape
|
112 |
+
valid_shape_file:
|
113 |
+
- exp/diar_enh_stats_8k/valid/speech_shape
|
114 |
+
- exp/diar_enh_stats_8k/valid/text_shape
|
115 |
+
- exp/diar_enh_stats_8k/valid/speech_ref1_shape
|
116 |
+
- exp/diar_enh_stats_8k/valid/speech_ref2_shape
|
117 |
+
- exp/diar_enh_stats_8k/valid/noise_ref1_shape
|
118 |
+
batch_type: folded
|
119 |
+
valid_batch_type: null
|
120 |
+
fold_length:
|
121 |
+
- 800
|
122 |
+
- 80000
|
123 |
+
- 80000
|
124 |
+
- 80000
|
125 |
+
- 80000
|
126 |
+
sort_in_batch: descending
|
127 |
+
sort_batch: descending
|
128 |
+
multiple_iterator: false
|
129 |
+
chunk_length: 24000
|
130 |
+
chunk_shift_ratio: 0.5
|
131 |
+
num_cache_chunks: 1024
|
132 |
+
train_data_path_and_name_and_type:
|
133 |
+
- - dump/raw/train/wav.scp
|
134 |
+
- speech
|
135 |
+
- sound
|
136 |
+
- - dump/raw/train/espnet_rttm
|
137 |
+
- text
|
138 |
+
- rttm
|
139 |
+
- - dump/raw/train/spk1.scp
|
140 |
+
- speech_ref1
|
141 |
+
- sound
|
142 |
+
- - dump/raw/train/spk2.scp
|
143 |
+
- speech_ref2
|
144 |
+
- sound
|
145 |
+
- - dump/raw/train/noise1.scp
|
146 |
+
- noise_ref1
|
147 |
+
- sound
|
148 |
+
valid_data_path_and_name_and_type:
|
149 |
+
- - dump/raw/dev/wav.scp
|
150 |
+
- speech
|
151 |
+
- sound
|
152 |
+
- - dump/raw/dev/espnet_rttm
|
153 |
+
- text
|
154 |
+
- rttm
|
155 |
+
- - dump/raw/dev/spk1.scp
|
156 |
+
- speech_ref1
|
157 |
+
- sound
|
158 |
+
- - dump/raw/dev/spk2.scp
|
159 |
+
- speech_ref2
|
160 |
+
- sound
|
161 |
+
- - dump/raw/dev/noise1.scp
|
162 |
+
- noise_ref1
|
163 |
+
- sound
|
164 |
+
allow_variable_data_keys: false
|
165 |
+
max_cache_size: 0.0
|
166 |
+
max_cache_fd: 32
|
167 |
+
valid_max_cache_size: null
|
168 |
+
optim: adam
|
169 |
+
optim_conf:
|
170 |
+
lr: 0.001
|
171 |
+
eps: 1.0e-07
|
172 |
+
weight_decay: 0
|
173 |
+
scheduler: reducelronplateau
|
174 |
+
scheduler_conf:
|
175 |
+
mode: min
|
176 |
+
factor: 0.5
|
177 |
+
patience: 50
|
178 |
+
token_list: null
|
179 |
+
src_token_list: null
|
180 |
+
init: xavier_uniform
|
181 |
+
input_size: null
|
182 |
+
ctc_conf:
|
183 |
+
dropout_rate: 0.0
|
184 |
+
ctc_type: builtin
|
185 |
+
reduce: true
|
186 |
+
ignore_nan_grad: null
|
187 |
+
zero_infinity: true
|
188 |
+
enh_criterions:
|
189 |
+
- name: si_snr
|
190 |
+
conf:
|
191 |
+
eps: 1.0e-07
|
192 |
+
wrapper: pit
|
193 |
+
wrapper_conf:
|
194 |
+
weight: 1.0
|
195 |
+
independent_perm: true
|
196 |
+
diar_num_spk: 2
|
197 |
+
diar_input_size: 128
|
198 |
+
enh_model_conf:
|
199 |
+
loss_type: si_snr
|
200 |
+
asr_model_conf:
|
201 |
+
ctc_weight: 0.5
|
202 |
+
interctc_weight: 0.0
|
203 |
+
ignore_id: -1
|
204 |
+
lsm_weight: 0.0
|
205 |
+
length_normalized_loss: false
|
206 |
+
report_cer: true
|
207 |
+
report_wer: true
|
208 |
+
sym_space: <space>
|
209 |
+
sym_blank: <blank>
|
210 |
+
extract_feats_in_collect_stats: true
|
211 |
+
st_model_conf:
|
212 |
+
stft_consistency: false
|
213 |
+
loss_type: mask_mse
|
214 |
+
mask_type: null
|
215 |
+
diar_model_conf:
|
216 |
+
diar_weight: 0.2
|
217 |
+
attractor_weight: 0.2
|
218 |
+
subtask_series:
|
219 |
+
- enh
|
220 |
+
- diar
|
221 |
+
model_conf:
|
222 |
+
calc_enh_loss: true
|
223 |
+
bypass_enh_prob: 0
|
224 |
+
use_preprocessor: true
|
225 |
+
token_type: bpe
|
226 |
+
bpemodel: null
|
227 |
+
src_token_type: bpe
|
228 |
+
src_bpemodel: null
|
229 |
+
non_linguistic_symbols: null
|
230 |
+
cleaner: null
|
231 |
+
g2p: null
|
232 |
+
enh_encoder: conv
|
233 |
+
enh_encoder_conf:
|
234 |
+
channel: 512
|
235 |
+
kernel_size: 16
|
236 |
+
stride: 8
|
237 |
+
enh_separator: tcn_nomask
|
238 |
+
enh_separator_conf:
|
239 |
+
layer: 8
|
240 |
+
stack: 3
|
241 |
+
bottleneck_dim: 128
|
242 |
+
hidden_dim: 512
|
243 |
+
kernel: 3
|
244 |
+
causal: false
|
245 |
+
norm_type: gLN
|
246 |
+
enh_decoder: conv
|
247 |
+
enh_decoder_conf:
|
248 |
+
channel: 512
|
249 |
+
kernel_size: 16
|
250 |
+
stride: 8
|
251 |
+
enh_mask_module: multi_mask
|
252 |
+
enh_mask_module_conf:
|
253 |
+
max_num_spk: 3
|
254 |
+
mask_nonlinear: relu
|
255 |
+
bottleneck_dim: 128
|
256 |
+
frontend: default
|
257 |
+
frontend_conf: {}
|
258 |
+
specaug: null
|
259 |
+
specaug_conf: {}
|
260 |
+
normalize: utterance_mvn
|
261 |
+
normalize_conf: {}
|
262 |
+
asr_preencoder: null
|
263 |
+
asr_preencoder_conf: {}
|
264 |
+
asr_encoder: rnn
|
265 |
+
asr_encoder_conf: {}
|
266 |
+
asr_postencoder: null
|
267 |
+
asr_postencoder_conf: {}
|
268 |
+
asr_decoder: rnn
|
269 |
+
asr_decoder_conf: {}
|
270 |
+
st_preencoder: null
|
271 |
+
st_preencoder_conf: {}
|
272 |
+
st_encoder: rnn
|
273 |
+
st_encoder_conf: {}
|
274 |
+
st_postencoder: null
|
275 |
+
st_postencoder_conf: {}
|
276 |
+
st_decoder: rnn
|
277 |
+
st_decoder_conf: {}
|
278 |
+
st_extra_asr_decoder: rnn
|
279 |
+
st_extra_asr_decoder_conf: {}
|
280 |
+
st_extra_mt_decoder: rnn
|
281 |
+
st_extra_mt_decoder_conf: {}
|
282 |
+
diar_frontend: default
|
283 |
+
diar_frontend_conf:
|
284 |
+
hop_length: 64
|
285 |
+
fs: 8000
|
286 |
+
diar_specaug: null
|
287 |
+
diar_specaug_conf: {}
|
288 |
+
diar_normalize: utterance_mvn
|
289 |
+
diar_normalize_conf: {}
|
290 |
+
diar_encoder: transformer
|
291 |
+
diar_encoder_conf:
|
292 |
+
input_layer: conv2d8
|
293 |
+
num_blocks: 4
|
294 |
+
linear_units: 512
|
295 |
+
dropout_rate: 0.1
|
296 |
+
output_size: 256
|
297 |
+
attention_heads: 4
|
298 |
+
attention_dropout_rate: 0.1
|
299 |
+
diar_decoder: linear
|
300 |
+
diar_decoder_conf: {}
|
301 |
+
label_aggregator: label_aggregator
|
302 |
+
label_aggregator_conf:
|
303 |
+
win_length: 256
|
304 |
+
hop_length: 64
|
305 |
+
diar_attractor: rnn
|
306 |
+
diar_attractor_conf:
|
307 |
+
unit: 256
|
308 |
+
layer: 1
|
309 |
+
dropout: 0.0
|
310 |
+
attractor_grad: true
|
311 |
+
required:
|
312 |
+
- output_dir
|
313 |
+
version: '202205'
|
314 |
+
distributed: true
|
315 |
+
```
|
316 |
+
|
317 |
+
</details>
|
318 |
+
|
319 |
+
|
320 |
+
|
321 |
+
### Citing ESPnet
|
322 |
+
|
323 |
+
```BibTex
|
324 |
+
@inproceedings{watanabe2018espnet,
|
325 |
+
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},
|
326 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
327 |
+
year={2018},
|
328 |
+
booktitle={Proceedings of Interspeech},
|
329 |
+
pages={2207--2211},
|
330 |
+
doi={10.21437/Interspeech.2018-1456},
|
331 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
332 |
+
}
|
333 |
+
|
334 |
+
|
335 |
+
|
336 |
+
|
337 |
+
```
|
338 |
+
|
339 |
+
or arXiv:
|
340 |
+
|
341 |
+
```bibtex
|
342 |
+
@misc{watanabe2018espnet,
|
343 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
344 |
+
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},
|
345 |
+
year={2018},
|
346 |
+
eprint={1804.00015},
|
347 |
+
archivePrefix={arXiv},
|
348 |
+
primaryClass={cs.CL}
|
349 |
+
}
|
350 |
+
```
|
exp/diar_enh_stats_8k/train/feats_stats.npz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9d63118338cef56e57e6b49c0dd8ac549ead5dbea1c7aedb51797930bada6d9
|
3 |
+
size 778
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/57epoch.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8adef049fd941d6deb198a9dbfe05b4f8dd702a3d3ff496ae197c5608fce80ea
|
3 |
+
size 38983318
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/DIAR_RESULTS.md
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_diar_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Thu Sep 1 06:42:28 EDT 2022`
|
5 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
6 |
+
- espnet version: `espnet 202205`
|
7 |
+
- pytorch version: `pytorch 1.8.1+cu102`
|
8 |
+
- Git hash: `d837c97c88f13ffe655a30bcff93d814f212b225`
|
9 |
+
- Commit date: `Wed Jun 29 12:04:57 2022 -0700`
|
10 |
+
|
11 |
+
## diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
12 |
+
### DER
|
13 |
+
diarized_enhanced_test_lat_enh
|
14 |
+
|threshold_median_collar|DER|
|
15 |
+
|---|---|
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/ENH_RESULTS.md
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_enh_score.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Thu Sep 1 06:50:40 EDT 2022`
|
5 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
6 |
+
- espnet version: `espnet 202205`
|
7 |
+
- pytorch version: `pytorch 1.8.1+cu102`
|
8 |
+
- Git hash: `d837c97c88f13ffe655a30bcff93d814f212b225`
|
9 |
+
- Commit date: `Wed Jun 29 12:04:57 2022 -0700`
|
10 |
+
|
11 |
+
|
12 |
+
## diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
13 |
+
|
14 |
+
config: conf/tuning/train_diar_enh_convtasnet_concat_feats.yaml
|
15 |
+
|
16 |
+
|dataset|STOI|SAR|SDR|SIR|SI_SNR|
|
17 |
+
|---|---|---|---|---|---|
|
18 |
+
|diarized_enhanced_dev|83.6928|10.6693|10.1626|21.8855|9.4331|
|
19 |
+
|diarized_enhanced_dev_wo_diar|83.7127|10.6663|10.1550|21.8520|9.4306|
|
20 |
+
|diarized_enhanced_test|83.7409|10.5066|9.9290|21.3136|9.1342|
|
21 |
+
|diarized_enhanced_test_ave_enh|83.7409|10.5066|9.9290|21.3136|9.1342|
|
22 |
+
|diarized_enhanced_test_ave_enh2|83.7560|10.5096|9.9249|21.2740|9.1355|
|
23 |
+
|diarized_enhanced_test_decode_diar|83.7560|10.5096|9.9249|21.2740|9.1355|
|
24 |
+
|diarized_enhanced_test_decode_diar_enh|83.7409|10.5066|9.9290|21.3136|9.1342|
|
25 |
+
|diarized_enhanced_test_decode_diar_enh2|83.7560|10.5096|9.9249|21.2740|9.1355|
|
26 |
+
|diarized_enhanced_test_lat_enh|83.7105|10.5050|9.9230|21.3135|9.1285|
|
27 |
+
|diarized_enhanced_test_lat_enh2|83.7299|10.5073|9.9189|21.2735|9.1314|
|
28 |
+
|diarized_enhanced_test_sparse_2_0.2_decode_diar_enh|86.6907|11.2629|10.9169|28.3233|10.0191|
|
29 |
+
|diarized_enhanced_test_sparse_2_0.4_decode_diar_enh|85.3315|10.7804|10.3049|24.7652|9.4069|
|
30 |
+
|diarized_enhanced_test_sparse_2_0.6_decode_diar_enh|84.6040|10.5808|10.0880|23.3730|9.2251|
|
31 |
+
|diarized_enhanced_test_sparse_2_0.8_decode_diar_enh|84.1088|10.3668|9.8149|22.3321|8.9487|
|
32 |
+
|diarized_enhanced_test_sparse_2_0_decode_diar_enh|87.6317|11.7109|11.3008|54.0680|10.3340|
|
33 |
+
|diarized_enhanced_test_sparse_2_1_decode_diar_enh|84.2412|10.2397|9.6977|21.8898|8.8254|
|
34 |
+
|diarized_enhanced_test_wo_diar|83.7560|10.5096|9.9249|21.2740|9.1355|
|
35 |
+
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/config.yaml
ADDED
@@ -0,0 +1,277 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/tuning/train_diar_enh_convtasnet_concat_feats.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: chunk
|
6 |
+
output_dir: exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 4
|
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: 54493
|
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: 100
|
28 |
+
patience: 50
|
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_enh
|
39 |
+
- min
|
40 |
+
keep_nbest_models: 1
|
41 |
+
nbest_averaging_interval: 0
|
42 |
+
grad_clip: 5.0
|
43 |
+
grad_clip_type: 2.0
|
44 |
+
grad_noise: false
|
45 |
+
accum_grad: 2
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
+
train_dtype: float32
|
49 |
+
use_amp: false
|
50 |
+
log_interval: null
|
51 |
+
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 |
+
num_iters_per_epoch: null
|
65 |
+
batch_size: 8
|
66 |
+
valid_batch_size: null
|
67 |
+
batch_bins: 1000000
|
68 |
+
valid_batch_bins: null
|
69 |
+
train_shape_file:
|
70 |
+
- exp/diar_enh_stats_8k/train/speech_shape
|
71 |
+
- exp/diar_enh_stats_8k/train/text_shape
|
72 |
+
- exp/diar_enh_stats_8k/train/speech_ref1_shape
|
73 |
+
- exp/diar_enh_stats_8k/train/speech_ref2_shape
|
74 |
+
- exp/diar_enh_stats_8k/train/noise_ref1_shape
|
75 |
+
valid_shape_file:
|
76 |
+
- exp/diar_enh_stats_8k/valid/speech_shape
|
77 |
+
- exp/diar_enh_stats_8k/valid/text_shape
|
78 |
+
- exp/diar_enh_stats_8k/valid/speech_ref1_shape
|
79 |
+
- exp/diar_enh_stats_8k/valid/speech_ref2_shape
|
80 |
+
- exp/diar_enh_stats_8k/valid/noise_ref1_shape
|
81 |
+
batch_type: folded
|
82 |
+
valid_batch_type: null
|
83 |
+
fold_length:
|
84 |
+
- 800
|
85 |
+
- 80000
|
86 |
+
- 80000
|
87 |
+
- 80000
|
88 |
+
- 80000
|
89 |
+
sort_in_batch: descending
|
90 |
+
sort_batch: descending
|
91 |
+
multiple_iterator: false
|
92 |
+
chunk_length: 24000
|
93 |
+
chunk_shift_ratio: 0.5
|
94 |
+
num_cache_chunks: 1024
|
95 |
+
train_data_path_and_name_and_type:
|
96 |
+
- - dump/raw/train/wav.scp
|
97 |
+
- speech
|
98 |
+
- sound
|
99 |
+
- - dump/raw/train/espnet_rttm
|
100 |
+
- text
|
101 |
+
- rttm
|
102 |
+
- - dump/raw/train/spk1.scp
|
103 |
+
- speech_ref1
|
104 |
+
- sound
|
105 |
+
- - dump/raw/train/spk2.scp
|
106 |
+
- speech_ref2
|
107 |
+
- sound
|
108 |
+
- - dump/raw/train/noise1.scp
|
109 |
+
- noise_ref1
|
110 |
+
- sound
|
111 |
+
valid_data_path_and_name_and_type:
|
112 |
+
- - dump/raw/dev/wav.scp
|
113 |
+
- speech
|
114 |
+
- sound
|
115 |
+
- - dump/raw/dev/espnet_rttm
|
116 |
+
- text
|
117 |
+
- rttm
|
118 |
+
- - dump/raw/dev/spk1.scp
|
119 |
+
- speech_ref1
|
120 |
+
- sound
|
121 |
+
- - dump/raw/dev/spk2.scp
|
122 |
+
- speech_ref2
|
123 |
+
- sound
|
124 |
+
- - dump/raw/dev/noise1.scp
|
125 |
+
- noise_ref1
|
126 |
+
- sound
|
127 |
+
allow_variable_data_keys: false
|
128 |
+
max_cache_size: 0.0
|
129 |
+
max_cache_fd: 32
|
130 |
+
valid_max_cache_size: null
|
131 |
+
optim: adam
|
132 |
+
optim_conf:
|
133 |
+
lr: 0.001
|
134 |
+
eps: 1.0e-07
|
135 |
+
weight_decay: 0
|
136 |
+
scheduler: reducelronplateau
|
137 |
+
scheduler_conf:
|
138 |
+
mode: min
|
139 |
+
factor: 0.5
|
140 |
+
patience: 50
|
141 |
+
token_list: null
|
142 |
+
src_token_list: null
|
143 |
+
init: xavier_uniform
|
144 |
+
input_size: null
|
145 |
+
ctc_conf:
|
146 |
+
dropout_rate: 0.0
|
147 |
+
ctc_type: builtin
|
148 |
+
reduce: true
|
149 |
+
ignore_nan_grad: null
|
150 |
+
zero_infinity: true
|
151 |
+
enh_criterions:
|
152 |
+
- name: si_snr
|
153 |
+
conf:
|
154 |
+
eps: 1.0e-07
|
155 |
+
wrapper: pit
|
156 |
+
wrapper_conf:
|
157 |
+
weight: 1.0
|
158 |
+
independent_perm: true
|
159 |
+
diar_num_spk: 2
|
160 |
+
diar_input_size: 128
|
161 |
+
enh_model_conf:
|
162 |
+
loss_type: si_snr
|
163 |
+
asr_model_conf:
|
164 |
+
ctc_weight: 0.5
|
165 |
+
interctc_weight: 0.0
|
166 |
+
ignore_id: -1
|
167 |
+
lsm_weight: 0.0
|
168 |
+
length_normalized_loss: false
|
169 |
+
report_cer: true
|
170 |
+
report_wer: true
|
171 |
+
sym_space: <space>
|
172 |
+
sym_blank: <blank>
|
173 |
+
extract_feats_in_collect_stats: true
|
174 |
+
st_model_conf:
|
175 |
+
stft_consistency: false
|
176 |
+
loss_type: mask_mse
|
177 |
+
mask_type: null
|
178 |
+
diar_model_conf:
|
179 |
+
diar_weight: 0.2
|
180 |
+
attractor_weight: 0.2
|
181 |
+
subtask_series:
|
182 |
+
- enh
|
183 |
+
- diar
|
184 |
+
model_conf:
|
185 |
+
calc_enh_loss: true
|
186 |
+
bypass_enh_prob: 0
|
187 |
+
use_preprocessor: true
|
188 |
+
token_type: bpe
|
189 |
+
bpemodel: null
|
190 |
+
src_token_type: bpe
|
191 |
+
src_bpemodel: null
|
192 |
+
non_linguistic_symbols: null
|
193 |
+
cleaner: null
|
194 |
+
g2p: null
|
195 |
+
enh_encoder: conv
|
196 |
+
enh_encoder_conf:
|
197 |
+
channel: 512
|
198 |
+
kernel_size: 16
|
199 |
+
stride: 8
|
200 |
+
enh_separator: tcn_nomask
|
201 |
+
enh_separator_conf:
|
202 |
+
layer: 8
|
203 |
+
stack: 3
|
204 |
+
bottleneck_dim: 128
|
205 |
+
hidden_dim: 512
|
206 |
+
kernel: 3
|
207 |
+
causal: false
|
208 |
+
norm_type: gLN
|
209 |
+
enh_decoder: conv
|
210 |
+
enh_decoder_conf:
|
211 |
+
channel: 512
|
212 |
+
kernel_size: 16
|
213 |
+
stride: 8
|
214 |
+
enh_mask_module: multi_mask
|
215 |
+
enh_mask_module_conf:
|
216 |
+
max_num_spk: 3
|
217 |
+
mask_nonlinear: relu
|
218 |
+
bottleneck_dim: 128
|
219 |
+
frontend: default
|
220 |
+
frontend_conf: {}
|
221 |
+
specaug: null
|
222 |
+
specaug_conf: {}
|
223 |
+
normalize: utterance_mvn
|
224 |
+
normalize_conf: {}
|
225 |
+
asr_preencoder: null
|
226 |
+
asr_preencoder_conf: {}
|
227 |
+
asr_encoder: rnn
|
228 |
+
asr_encoder_conf: {}
|
229 |
+
asr_postencoder: null
|
230 |
+
asr_postencoder_conf: {}
|
231 |
+
asr_decoder: rnn
|
232 |
+
asr_decoder_conf: {}
|
233 |
+
st_preencoder: null
|
234 |
+
st_preencoder_conf: {}
|
235 |
+
st_encoder: rnn
|
236 |
+
st_encoder_conf: {}
|
237 |
+
st_postencoder: null
|
238 |
+
st_postencoder_conf: {}
|
239 |
+
st_decoder: rnn
|
240 |
+
st_decoder_conf: {}
|
241 |
+
st_extra_asr_decoder: rnn
|
242 |
+
st_extra_asr_decoder_conf: {}
|
243 |
+
st_extra_mt_decoder: rnn
|
244 |
+
st_extra_mt_decoder_conf: {}
|
245 |
+
diar_frontend: default
|
246 |
+
diar_frontend_conf:
|
247 |
+
hop_length: 64
|
248 |
+
fs: 8000
|
249 |
+
diar_specaug: null
|
250 |
+
diar_specaug_conf: {}
|
251 |
+
diar_normalize: utterance_mvn
|
252 |
+
diar_normalize_conf: {}
|
253 |
+
diar_encoder: transformer
|
254 |
+
diar_encoder_conf:
|
255 |
+
input_layer: conv2d8
|
256 |
+
num_blocks: 4
|
257 |
+
linear_units: 512
|
258 |
+
dropout_rate: 0.1
|
259 |
+
output_size: 256
|
260 |
+
attention_heads: 4
|
261 |
+
attention_dropout_rate: 0.1
|
262 |
+
diar_decoder: linear
|
263 |
+
diar_decoder_conf: {}
|
264 |
+
label_aggregator: label_aggregator
|
265 |
+
label_aggregator_conf:
|
266 |
+
win_length: 256
|
267 |
+
hop_length: 64
|
268 |
+
diar_attractor: rnn
|
269 |
+
diar_attractor_conf:
|
270 |
+
unit: 256
|
271 |
+
layer: 1
|
272 |
+
dropout: 0.0
|
273 |
+
attractor_grad: true
|
274 |
+
required:
|
275 |
+
- output_dir
|
276 |
+
version: '202205'
|
277 |
+
distributed: true
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/acc.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/backward_time.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/cf.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/der.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/fa.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/forward_time.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/gpu_max_cached_mem_GB.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/iter_time.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss_att.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss_enh.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/loss_pit.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/mi.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/optim0_lr0.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/optim_step_time.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/sad_fr.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/sad_mr.png
ADDED
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/images/train_time.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: '202205'
|
2 |
+
files:
|
3 |
+
model_file: exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/57epoch.pth
|
4 |
+
python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
|
5 |
+
timestamp: 1676313507.836365
|
6 |
+
torch: 1.8.1+cu102
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/config.yaml
|