Commit
•
9ae5af7
1
Parent(s):
eac7f0a
Update model
Browse files- README.md +359 -0
- exp/diar_enh_stats_8k/train/feats_stats.npz +3 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/DIAR_RESULTS.md +55 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/ENH_RESULTS.md +21 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/config.yaml +286 -0
- exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/valid.loss_enh.best.pth +3 -0
- meta.yaml +8 -0
README.md
ADDED
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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/libri3mix_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_2
|
28 |
+
./run.sh --skip_data_prep false --skip_train true --download_model soumi-maiti/libri3mix_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: null
|
51 |
+
dist_rank: null
|
52 |
+
local_rank: 0
|
53 |
+
dist_master_addr: null
|
54 |
+
dist_master_port: null
|
55 |
+
dist_launcher: null
|
56 |
+
multiprocessing_distributed: false
|
57 |
+
unused_parameters: 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: 4
|
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: 4
|
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/speech_ref3_shape
|
112 |
+
- exp/diar_enh_stats_8k/train/noise_ref1_shape
|
113 |
+
valid_shape_file:
|
114 |
+
- exp/diar_enh_stats_8k/valid/speech_shape
|
115 |
+
- exp/diar_enh_stats_8k/valid/text_shape
|
116 |
+
- exp/diar_enh_stats_8k/valid/speech_ref1_shape
|
117 |
+
- exp/diar_enh_stats_8k/valid/speech_ref2_shape
|
118 |
+
- exp/diar_enh_stats_8k/valid/speech_ref3_shape
|
119 |
+
- exp/diar_enh_stats_8k/valid/noise_ref1_shape
|
120 |
+
batch_type: folded
|
121 |
+
valid_batch_type: null
|
122 |
+
fold_length:
|
123 |
+
- 800
|
124 |
+
- 80000
|
125 |
+
- 80000
|
126 |
+
- 80000
|
127 |
+
- 80000
|
128 |
+
- 80000
|
129 |
+
sort_in_batch: descending
|
130 |
+
sort_batch: descending
|
131 |
+
multiple_iterator: false
|
132 |
+
chunk_length: 24000
|
133 |
+
chunk_shift_ratio: 0.5
|
134 |
+
num_cache_chunks: 1024
|
135 |
+
train_data_path_and_name_and_type:
|
136 |
+
- - dump/raw/train/wav.scp
|
137 |
+
- speech
|
138 |
+
- sound
|
139 |
+
- - dump/raw/train/espnet_rttm
|
140 |
+
- text
|
141 |
+
- rttm
|
142 |
+
- - dump/raw/train/spk1.scp
|
143 |
+
- speech_ref1
|
144 |
+
- sound
|
145 |
+
- - dump/raw/train/spk2.scp
|
146 |
+
- speech_ref2
|
147 |
+
- sound
|
148 |
+
- - dump/raw/train/spk3.scp
|
149 |
+
- speech_ref3
|
150 |
+
- sound
|
151 |
+
- - dump/raw/train/noise1.scp
|
152 |
+
- noise_ref1
|
153 |
+
- sound
|
154 |
+
valid_data_path_and_name_and_type:
|
155 |
+
- - dump/raw/dev/wav.scp
|
156 |
+
- speech
|
157 |
+
- sound
|
158 |
+
- - dump/raw/dev/espnet_rttm
|
159 |
+
- text
|
160 |
+
- rttm
|
161 |
+
- - dump/raw/dev/spk1.scp
|
162 |
+
- speech_ref1
|
163 |
+
- sound
|
164 |
+
- - dump/raw/dev/spk2.scp
|
165 |
+
- speech_ref2
|
166 |
+
- sound
|
167 |
+
- - dump/raw/dev/spk3.scp
|
168 |
+
- speech_ref3
|
169 |
+
- sound
|
170 |
+
- - dump/raw/dev/noise1.scp
|
171 |
+
- noise_ref1
|
172 |
+
- sound
|
173 |
+
allow_variable_data_keys: false
|
174 |
+
max_cache_size: 0.0
|
175 |
+
max_cache_fd: 32
|
176 |
+
valid_max_cache_size: null
|
177 |
+
optim: adam
|
178 |
+
optim_conf:
|
179 |
+
lr: 0.001
|
180 |
+
eps: 1.0e-07
|
181 |
+
weight_decay: 0
|
182 |
+
scheduler: reducelronplateau
|
183 |
+
scheduler_conf:
|
184 |
+
mode: min
|
185 |
+
factor: 0.5
|
186 |
+
patience: 1
|
187 |
+
token_list: null
|
188 |
+
src_token_list: null
|
189 |
+
init: xavier_uniform
|
190 |
+
input_size: null
|
191 |
+
ctc_conf:
|
192 |
+
dropout_rate: 0.0
|
193 |
+
ctc_type: builtin
|
194 |
+
reduce: true
|
195 |
+
ignore_nan_grad: null
|
196 |
+
zero_infinity: true
|
197 |
+
enh_criterions:
|
198 |
+
- name: si_snr
|
199 |
+
conf:
|
200 |
+
eps: 1.0e-07
|
201 |
+
wrapper: pit
|
202 |
+
wrapper_conf:
|
203 |
+
weight: 1.0
|
204 |
+
independent_perm: true
|
205 |
+
diar_num_spk: 3
|
206 |
+
diar_input_size: 128
|
207 |
+
enh_model_conf:
|
208 |
+
loss_type: si_snr
|
209 |
+
asr_model_conf:
|
210 |
+
ctc_weight: 0.5
|
211 |
+
interctc_weight: 0.0
|
212 |
+
ignore_id: -1
|
213 |
+
lsm_weight: 0.0
|
214 |
+
length_normalized_loss: false
|
215 |
+
report_cer: true
|
216 |
+
report_wer: true
|
217 |
+
sym_space: <space>
|
218 |
+
sym_blank: <blank>
|
219 |
+
extract_feats_in_collect_stats: true
|
220 |
+
st_model_conf:
|
221 |
+
stft_consistency: false
|
222 |
+
loss_type: mask_mse
|
223 |
+
mask_type: null
|
224 |
+
diar_model_conf:
|
225 |
+
diar_weight: 0.2
|
226 |
+
attractor_weight: 0.2
|
227 |
+
subtask_series:
|
228 |
+
- enh
|
229 |
+
- diar
|
230 |
+
model_conf:
|
231 |
+
calc_enh_loss: true
|
232 |
+
bypass_enh_prob: 0
|
233 |
+
use_preprocessor: true
|
234 |
+
token_type: bpe
|
235 |
+
bpemodel: null
|
236 |
+
src_token_type: bpe
|
237 |
+
src_bpemodel: null
|
238 |
+
non_linguistic_symbols: null
|
239 |
+
cleaner: null
|
240 |
+
g2p: null
|
241 |
+
enh_encoder: conv
|
242 |
+
enh_encoder_conf:
|
243 |
+
channel: 512
|
244 |
+
kernel_size: 16
|
245 |
+
stride: 8
|
246 |
+
enh_separator: tcn_nomask
|
247 |
+
enh_separator_conf:
|
248 |
+
layer: 8
|
249 |
+
stack: 3
|
250 |
+
bottleneck_dim: 128
|
251 |
+
hidden_dim: 512
|
252 |
+
kernel: 3
|
253 |
+
causal: false
|
254 |
+
norm_type: gLN
|
255 |
+
enh_decoder: conv
|
256 |
+
enh_decoder_conf:
|
257 |
+
channel: 512
|
258 |
+
kernel_size: 16
|
259 |
+
stride: 8
|
260 |
+
enh_mask_module: multi_mask
|
261 |
+
enh_mask_module_conf:
|
262 |
+
max_num_spk: 3
|
263 |
+
mask_nonlinear: relu
|
264 |
+
bottleneck_dim: 128
|
265 |
+
frontend: default
|
266 |
+
frontend_conf: {}
|
267 |
+
specaug: null
|
268 |
+
specaug_conf: {}
|
269 |
+
normalize: utterance_mvn
|
270 |
+
normalize_conf: {}
|
271 |
+
asr_preencoder: null
|
272 |
+
asr_preencoder_conf: {}
|
273 |
+
asr_encoder: rnn
|
274 |
+
asr_encoder_conf: {}
|
275 |
+
asr_postencoder: null
|
276 |
+
asr_postencoder_conf: {}
|
277 |
+
asr_decoder: rnn
|
278 |
+
asr_decoder_conf: {}
|
279 |
+
st_preencoder: null
|
280 |
+
st_preencoder_conf: {}
|
281 |
+
st_encoder: rnn
|
282 |
+
st_encoder_conf: {}
|
283 |
+
st_postencoder: null
|
284 |
+
st_postencoder_conf: {}
|
285 |
+
st_decoder: rnn
|
286 |
+
st_decoder_conf: {}
|
287 |
+
st_extra_asr_decoder: rnn
|
288 |
+
st_extra_asr_decoder_conf: {}
|
289 |
+
st_extra_mt_decoder: rnn
|
290 |
+
st_extra_mt_decoder_conf: {}
|
291 |
+
diar_frontend: default
|
292 |
+
diar_frontend_conf:
|
293 |
+
hop_length: 64
|
294 |
+
fs: 8000
|
295 |
+
diar_specaug: null
|
296 |
+
diar_specaug_conf: {}
|
297 |
+
diar_normalize: utterance_mvn
|
298 |
+
diar_normalize_conf: {}
|
299 |
+
diar_encoder: transformer
|
300 |
+
diar_encoder_conf:
|
301 |
+
input_layer: conv2d8
|
302 |
+
num_blocks: 4
|
303 |
+
linear_units: 512
|
304 |
+
dropout_rate: 0.1
|
305 |
+
output_size: 256
|
306 |
+
attention_heads: 4
|
307 |
+
attention_dropout_rate: 0.1
|
308 |
+
diar_decoder: linear
|
309 |
+
diar_decoder_conf: {}
|
310 |
+
label_aggregator: label_aggregator
|
311 |
+
label_aggregator_conf:
|
312 |
+
win_length: 256
|
313 |
+
hop_length: 64
|
314 |
+
diar_attractor: rnn
|
315 |
+
diar_attractor_conf:
|
316 |
+
unit: 256
|
317 |
+
layer: 1
|
318 |
+
dropout: 0.0
|
319 |
+
attractor_grad: true
|
320 |
+
required:
|
321 |
+
- output_dir
|
322 |
+
version: '202205'
|
323 |
+
distributed: false
|
324 |
+
```
|
325 |
+
|
326 |
+
</details>
|
327 |
+
|
328 |
+
|
329 |
+
|
330 |
+
### Citing ESPnet
|
331 |
+
|
332 |
+
```BibTex
|
333 |
+
@inproceedings{watanabe2018espnet,
|
334 |
+
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},
|
335 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
336 |
+
year={2018},
|
337 |
+
booktitle={Proceedings of Interspeech},
|
338 |
+
pages={2207--2211},
|
339 |
+
doi={10.21437/Interspeech.2018-1456},
|
340 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
341 |
+
}
|
342 |
+
|
343 |
+
|
344 |
+
|
345 |
+
|
346 |
+
```
|
347 |
+
|
348 |
+
or arXiv:
|
349 |
+
|
350 |
+
```bibtex
|
351 |
+
@misc{watanabe2018espnet,
|
352 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
353 |
+
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},
|
354 |
+
year={2018},
|
355 |
+
eprint={1804.00015},
|
356 |
+
archivePrefix={arXiv},
|
357 |
+
primaryClass={cs.CL}
|
358 |
+
}
|
359 |
+
```
|
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 sha256:6bb5cfdb14dc06555acb20c7cf7aa9fe46a4ba08a4e108d9d4c8c594f69bcf20
|
3 |
+
size 778
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/DIAR_RESULTS.md
ADDED
@@ -0,0 +1,55 @@
|
|
|
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|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_diar_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Thu Mar 9 16:50:29 EST 2023`
|
5 |
+
- python version: `3.9.12 (main, Apr 5 2022, 06:56:58) [GCC 7.5.0]`
|
6 |
+
- espnet version: `espnet 202205`
|
7 |
+
- pytorch version: `pytorch 1.8.1+cu111`
|
8 |
+
- Git hash: `f2778f798b76e102602078213a21b63aa592be70`
|
9 |
+
- Commit date: `Sun Jul 10 23:45:31 2022 +0000`
|
10 |
+
|
11 |
+
## diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
12 |
+
### DER
|
13 |
+
diarized_enhanced_test_decode_diar_enh_wo_diar
|
14 |
+
|threshold_median_collar|DER|
|
15 |
+
|---|---|
|
16 |
+
|result_th0.3_med11_collar0.0|6.14|
|
17 |
+
|result_th0.3_med1_collar0.0|6.18|
|
18 |
+
|result_th0.4_med11_collar0.0|5.91|
|
19 |
+
|result_th0.4_med1_collar0.0|5.97|
|
20 |
+
|result_th0.5_med11_collar0.0|5.81|
|
21 |
+
|result_th0.5_med1_collar0.0|5.90|
|
22 |
+
|result_th0.6_med11_collar0.0|5.89|
|
23 |
+
|result_th0.6_med1_collar0.0|6.01|
|
24 |
+
|result_th0.7_med11_collar0.0|6.24|
|
25 |
+
|result_th0.7_med1_collar0.0|6.39|
|
26 |
+
## diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
27 |
+
### DER
|
28 |
+
diarized_enhanced_test
|
29 |
+
|threshold_median_collar|DER|
|
30 |
+
|---|---|
|
31 |
+
|result_th0.3_med11_collar0.0|6.14|
|
32 |
+
|result_th0.3_med1_collar0.0|6.18|
|
33 |
+
|result_th0.4_med11_collar0.0|5.91|
|
34 |
+
|result_th0.4_med1_collar0.0|5.97|
|
35 |
+
|result_th0.5_med11_collar0.0|5.81|
|
36 |
+
|result_th0.5_med1_collar0.0|5.90|
|
37 |
+
|result_th0.6_med11_collar0.0|5.89|
|
38 |
+
|result_th0.6_med1_collar0.0|6.01|
|
39 |
+
|result_th0.7_med11_collar0.0|6.24|
|
40 |
+
|result_th0.7_med1_collar0.0|6.39|
|
41 |
+
## diar_enh_train_diar_enh_convtasnet_concat_feats_raw
|
42 |
+
### DER
|
43 |
+
diarized_enhanced_test_decode_diar_enh
|
44 |
+
|threshold_median_collar|DER|
|
45 |
+
|---|---|
|
46 |
+
|result_th0.3_med11_collar0.0|6.14|
|
47 |
+
|result_th0.3_med1_collar0.0|6.18|
|
48 |
+
|result_th0.4_med11_collar0.0|5.91|
|
49 |
+
|result_th0.4_med1_collar0.0|5.97|
|
50 |
+
|result_th0.5_med11_collar0.0|5.81|
|
51 |
+
|result_th0.5_med1_collar0.0|5.90|
|
52 |
+
|result_th0.6_med11_collar0.0|5.89|
|
53 |
+
|result_th0.6_med1_collar0.0|6.01|
|
54 |
+
|result_th0.7_med11_collar0.0|6.24|
|
55 |
+
|result_th0.7_med1_collar0.0|6.39|
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/ENH_RESULTS.md
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_enh_score.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Thu Mar 9 22:20:58 EST 2023`
|
5 |
+
- python version: `3.9.12 (main, Apr 5 2022, 06:56:58) [GCC 7.5.0]`
|
6 |
+
- espnet version: `espnet 202205`
|
7 |
+
- pytorch version: `pytorch 1.8.1+cu111`
|
8 |
+
- Git hash: `f2778f798b76e102602078213a21b63aa592be70`
|
9 |
+
- Commit date: `Sun Jul 10 23:45:31 2022 +0000`
|
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_test|72.5039|6.7901|5.0607|12.4202|4.1435|
|
19 |
+
|diarized_enhanced_test_decode_diar_enh|72.5039|6.7901|5.0607|12.4202|4.1435|
|
20 |
+
|diarized_enhanced_test_decode_diar_enh_wo_diar|72.5187|6.7670|5.0186|12.3369|4.1165|
|
21 |
+
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/config.yaml
ADDED
@@ -0,0 +1,286 @@
|
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|
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|
|
|
|
|
|
|
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: 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: 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: 4
|
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: 4
|
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/speech_ref3_shape
|
75 |
+
- exp/diar_enh_stats_8k/train/noise_ref1_shape
|
76 |
+
valid_shape_file:
|
77 |
+
- exp/diar_enh_stats_8k/valid/speech_shape
|
78 |
+
- exp/diar_enh_stats_8k/valid/text_shape
|
79 |
+
- exp/diar_enh_stats_8k/valid/speech_ref1_shape
|
80 |
+
- exp/diar_enh_stats_8k/valid/speech_ref2_shape
|
81 |
+
- exp/diar_enh_stats_8k/valid/speech_ref3_shape
|
82 |
+
- exp/diar_enh_stats_8k/valid/noise_ref1_shape
|
83 |
+
batch_type: folded
|
84 |
+
valid_batch_type: null
|
85 |
+
fold_length:
|
86 |
+
- 800
|
87 |
+
- 80000
|
88 |
+
- 80000
|
89 |
+
- 80000
|
90 |
+
- 80000
|
91 |
+
- 80000
|
92 |
+
sort_in_batch: descending
|
93 |
+
sort_batch: descending
|
94 |
+
multiple_iterator: false
|
95 |
+
chunk_length: 24000
|
96 |
+
chunk_shift_ratio: 0.5
|
97 |
+
num_cache_chunks: 1024
|
98 |
+
train_data_path_and_name_and_type:
|
99 |
+
- - dump/raw/train/wav.scp
|
100 |
+
- speech
|
101 |
+
- sound
|
102 |
+
- - dump/raw/train/espnet_rttm
|
103 |
+
- text
|
104 |
+
- rttm
|
105 |
+
- - dump/raw/train/spk1.scp
|
106 |
+
- speech_ref1
|
107 |
+
- sound
|
108 |
+
- - dump/raw/train/spk2.scp
|
109 |
+
- speech_ref2
|
110 |
+
- sound
|
111 |
+
- - dump/raw/train/spk3.scp
|
112 |
+
- speech_ref3
|
113 |
+
- sound
|
114 |
+
- - dump/raw/train/noise1.scp
|
115 |
+
- noise_ref1
|
116 |
+
- sound
|
117 |
+
valid_data_path_and_name_and_type:
|
118 |
+
- - dump/raw/dev/wav.scp
|
119 |
+
- speech
|
120 |
+
- sound
|
121 |
+
- - dump/raw/dev/espnet_rttm
|
122 |
+
- text
|
123 |
+
- rttm
|
124 |
+
- - dump/raw/dev/spk1.scp
|
125 |
+
- speech_ref1
|
126 |
+
- sound
|
127 |
+
- - dump/raw/dev/spk2.scp
|
128 |
+
- speech_ref2
|
129 |
+
- sound
|
130 |
+
- - dump/raw/dev/spk3.scp
|
131 |
+
- speech_ref3
|
132 |
+
- sound
|
133 |
+
- - dump/raw/dev/noise1.scp
|
134 |
+
- noise_ref1
|
135 |
+
- sound
|
136 |
+
allow_variable_data_keys: false
|
137 |
+
max_cache_size: 0.0
|
138 |
+
max_cache_fd: 32
|
139 |
+
valid_max_cache_size: null
|
140 |
+
optim: adam
|
141 |
+
optim_conf:
|
142 |
+
lr: 0.001
|
143 |
+
eps: 1.0e-07
|
144 |
+
weight_decay: 0
|
145 |
+
scheduler: reducelronplateau
|
146 |
+
scheduler_conf:
|
147 |
+
mode: min
|
148 |
+
factor: 0.5
|
149 |
+
patience: 1
|
150 |
+
token_list: null
|
151 |
+
src_token_list: null
|
152 |
+
init: xavier_uniform
|
153 |
+
input_size: null
|
154 |
+
ctc_conf:
|
155 |
+
dropout_rate: 0.0
|
156 |
+
ctc_type: builtin
|
157 |
+
reduce: true
|
158 |
+
ignore_nan_grad: null
|
159 |
+
zero_infinity: true
|
160 |
+
enh_criterions:
|
161 |
+
- name: si_snr
|
162 |
+
conf:
|
163 |
+
eps: 1.0e-07
|
164 |
+
wrapper: pit
|
165 |
+
wrapper_conf:
|
166 |
+
weight: 1.0
|
167 |
+
independent_perm: true
|
168 |
+
diar_num_spk: 3
|
169 |
+
diar_input_size: 128
|
170 |
+
enh_model_conf:
|
171 |
+
loss_type: si_snr
|
172 |
+
asr_model_conf:
|
173 |
+
ctc_weight: 0.5
|
174 |
+
interctc_weight: 0.0
|
175 |
+
ignore_id: -1
|
176 |
+
lsm_weight: 0.0
|
177 |
+
length_normalized_loss: false
|
178 |
+
report_cer: true
|
179 |
+
report_wer: true
|
180 |
+
sym_space: <space>
|
181 |
+
sym_blank: <blank>
|
182 |
+
extract_feats_in_collect_stats: true
|
183 |
+
st_model_conf:
|
184 |
+
stft_consistency: false
|
185 |
+
loss_type: mask_mse
|
186 |
+
mask_type: null
|
187 |
+
diar_model_conf:
|
188 |
+
diar_weight: 0.2
|
189 |
+
attractor_weight: 0.2
|
190 |
+
subtask_series:
|
191 |
+
- enh
|
192 |
+
- diar
|
193 |
+
model_conf:
|
194 |
+
calc_enh_loss: true
|
195 |
+
bypass_enh_prob: 0
|
196 |
+
use_preprocessor: true
|
197 |
+
token_type: bpe
|
198 |
+
bpemodel: null
|
199 |
+
src_token_type: bpe
|
200 |
+
src_bpemodel: null
|
201 |
+
non_linguistic_symbols: null
|
202 |
+
cleaner: null
|
203 |
+
g2p: null
|
204 |
+
enh_encoder: conv
|
205 |
+
enh_encoder_conf:
|
206 |
+
channel: 512
|
207 |
+
kernel_size: 16
|
208 |
+
stride: 8
|
209 |
+
enh_separator: tcn_nomask
|
210 |
+
enh_separator_conf:
|
211 |
+
layer: 8
|
212 |
+
stack: 3
|
213 |
+
bottleneck_dim: 128
|
214 |
+
hidden_dim: 512
|
215 |
+
kernel: 3
|
216 |
+
causal: false
|
217 |
+
norm_type: gLN
|
218 |
+
enh_decoder: conv
|
219 |
+
enh_decoder_conf:
|
220 |
+
channel: 512
|
221 |
+
kernel_size: 16
|
222 |
+
stride: 8
|
223 |
+
enh_mask_module: multi_mask
|
224 |
+
enh_mask_module_conf:
|
225 |
+
max_num_spk: 3
|
226 |
+
mask_nonlinear: relu
|
227 |
+
bottleneck_dim: 128
|
228 |
+
frontend: default
|
229 |
+
frontend_conf: {}
|
230 |
+
specaug: null
|
231 |
+
specaug_conf: {}
|
232 |
+
normalize: utterance_mvn
|
233 |
+
normalize_conf: {}
|
234 |
+
asr_preencoder: null
|
235 |
+
asr_preencoder_conf: {}
|
236 |
+
asr_encoder: rnn
|
237 |
+
asr_encoder_conf: {}
|
238 |
+
asr_postencoder: null
|
239 |
+
asr_postencoder_conf: {}
|
240 |
+
asr_decoder: rnn
|
241 |
+
asr_decoder_conf: {}
|
242 |
+
st_preencoder: null
|
243 |
+
st_preencoder_conf: {}
|
244 |
+
st_encoder: rnn
|
245 |
+
st_encoder_conf: {}
|
246 |
+
st_postencoder: null
|
247 |
+
st_postencoder_conf: {}
|
248 |
+
st_decoder: rnn
|
249 |
+
st_decoder_conf: {}
|
250 |
+
st_extra_asr_decoder: rnn
|
251 |
+
st_extra_asr_decoder_conf: {}
|
252 |
+
st_extra_mt_decoder: rnn
|
253 |
+
st_extra_mt_decoder_conf: {}
|
254 |
+
diar_frontend: default
|
255 |
+
diar_frontend_conf:
|
256 |
+
hop_length: 64
|
257 |
+
fs: 8000
|
258 |
+
diar_specaug: null
|
259 |
+
diar_specaug_conf: {}
|
260 |
+
diar_normalize: utterance_mvn
|
261 |
+
diar_normalize_conf: {}
|
262 |
+
diar_encoder: transformer
|
263 |
+
diar_encoder_conf:
|
264 |
+
input_layer: conv2d8
|
265 |
+
num_blocks: 4
|
266 |
+
linear_units: 512
|
267 |
+
dropout_rate: 0.1
|
268 |
+
output_size: 256
|
269 |
+
attention_heads: 4
|
270 |
+
attention_dropout_rate: 0.1
|
271 |
+
diar_decoder: linear
|
272 |
+
diar_decoder_conf: {}
|
273 |
+
label_aggregator: label_aggregator
|
274 |
+
label_aggregator_conf:
|
275 |
+
win_length: 256
|
276 |
+
hop_length: 64
|
277 |
+
diar_attractor: rnn
|
278 |
+
diar_attractor_conf:
|
279 |
+
unit: 256
|
280 |
+
layer: 1
|
281 |
+
dropout: 0.0
|
282 |
+
attractor_grad: true
|
283 |
+
required:
|
284 |
+
- output_dir
|
285 |
+
version: '202205'
|
286 |
+
distributed: false
|
exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/valid.loss_enh.best.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a699455f39d3e12299bcf466c363f8f68574f5711b270d253bffa1e669f53155
|
3 |
+
size 38983318
|
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/valid.loss_enh.best.pth
|
4 |
+
python: "3.9.16 | packaged by conda-forge | (main, Feb 1 2023, 21:39:03) \n[GCC 11.3.0]"
|
5 |
+
timestamp: 1683210313.020129
|
6 |
+
torch: 1.8.1+cu102
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/diar_enh_train_diar_enh_convtasnet_concat_feats_raw/config.yaml
|