Update model
Browse files- README.md +233 -0
- exp/diar_stats_8k/train/feats_stats.npz +0 -0
- exp/diar_train_diar_eda_adapt_simu/13epoch.pth +3 -0
- exp/diar_train_diar_eda_adapt_simu/RESULTS.md +0 -0
- exp/diar_train_diar_eda_adapt_simu/config.yaml +163 -0
- exp/diar_train_diar_eda_adapt_simu/images/acc.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/backward_time.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/cf.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/der.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/fa.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/forward_time.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/gpu_max_cached_mem_GB.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/iter_time.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/loss.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/loss_att.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/loss_pit.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/mi.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/optim0_lr0.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/optim_step_time.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/sad_fr.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/sad_mr.png +0 -0
- exp/diar_train_diar_eda_adapt_simu/images/train_time.png +0 -0
- meta.yaml +8 -0
README.md
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| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- espnet
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| 4 |
+
- audio
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| 5 |
+
- diarization
|
| 6 |
+
language: noinfo
|
| 7 |
+
datasets:
|
| 8 |
+
- callhome
|
| 9 |
+
license: cc-by-4.0
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
## ESPnet2 DIAR model
|
| 13 |
+
|
| 14 |
+
### `YushiUeda/callhome_adapt_simu`
|
| 15 |
+
|
| 16 |
+
This model was trained by YushiUeda using callhome 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 0cabe65afd362122e77b04e2e967986a91de0fd8
|
| 23 |
+
pip install -e .
|
| 24 |
+
cd egs2/callhome/diar1
|
| 25 |
+
./run.sh --skip_data_prep false --skip_train true --download_model YushiUeda/callhome_adapt_simu
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
## DIAR config
|
| 31 |
+
|
| 32 |
+
<details><summary>expand</summary>
|
| 33 |
+
|
| 34 |
+
```
|
| 35 |
+
config: conf/tuning/train_diar_eda_adapt.yaml
|
| 36 |
+
print_config: false
|
| 37 |
+
log_level: INFO
|
| 38 |
+
dry_run: false
|
| 39 |
+
iterator_type: sequence
|
| 40 |
+
output_dir: exp/diar_train_diar_eda_adapt_simu
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| 41 |
+
ngpu: 1
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| 42 |
+
seed: 0
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| 43 |
+
num_workers: 1
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| 44 |
+
num_att_plot: 3
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| 45 |
+
dist_backend: nccl
|
| 46 |
+
dist_init_method: env://
|
| 47 |
+
dist_world_size: 4
|
| 48 |
+
dist_rank: 0
|
| 49 |
+
local_rank: 0
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| 50 |
+
dist_master_addr: localhost
|
| 51 |
+
dist_master_port: 43777
|
| 52 |
+
dist_launcher: null
|
| 53 |
+
multiprocessing_distributed: true
|
| 54 |
+
unused_parameters: false
|
| 55 |
+
sharded_ddp: false
|
| 56 |
+
cudnn_enabled: true
|
| 57 |
+
cudnn_benchmark: false
|
| 58 |
+
cudnn_deterministic: true
|
| 59 |
+
collect_stats: false
|
| 60 |
+
write_collected_feats: false
|
| 61 |
+
max_epoch: 50
|
| 62 |
+
patience: null
|
| 63 |
+
val_scheduler_criterion:
|
| 64 |
+
- valid
|
| 65 |
+
- loss
|
| 66 |
+
early_stopping_criterion:
|
| 67 |
+
- valid
|
| 68 |
+
- loss
|
| 69 |
+
- min
|
| 70 |
+
best_model_criterion:
|
| 71 |
+
- - valid
|
| 72 |
+
- acc
|
| 73 |
+
- max
|
| 74 |
+
- - train
|
| 75 |
+
- acc
|
| 76 |
+
- max
|
| 77 |
+
keep_nbest_models: 10
|
| 78 |
+
nbest_averaging_interval: 0
|
| 79 |
+
grad_clip: 5
|
| 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 |
+
- exp/diar_train_diar_eda_5_raw/latest.pth
|
| 100 |
+
ignore_init_mismatch: false
|
| 101 |
+
freeze_param: []
|
| 102 |
+
num_iters_per_epoch: null
|
| 103 |
+
batch_size: 16
|
| 104 |
+
valid_batch_size: null
|
| 105 |
+
batch_bins: 1000000
|
| 106 |
+
valid_batch_bins: null
|
| 107 |
+
train_shape_file:
|
| 108 |
+
- exp/diar_stats_8k/train/speech_shape
|
| 109 |
+
- exp/diar_stats_8k/train/spk_labels_shape
|
| 110 |
+
valid_shape_file:
|
| 111 |
+
- exp/diar_stats_8k/valid/speech_shape
|
| 112 |
+
- exp/diar_stats_8k/valid/spk_labels_shape
|
| 113 |
+
batch_type: folded
|
| 114 |
+
valid_batch_type: null
|
| 115 |
+
fold_length:
|
| 116 |
+
- 80000
|
| 117 |
+
- 800
|
| 118 |
+
sort_in_batch: descending
|
| 119 |
+
sort_batch: descending
|
| 120 |
+
multiple_iterator: false
|
| 121 |
+
chunk_length: 500
|
| 122 |
+
chunk_shift_ratio: 0.5
|
| 123 |
+
num_cache_chunks: 1024
|
| 124 |
+
train_data_path_and_name_and_type:
|
| 125 |
+
- - dump/raw/simu/data/swb_sre_tr_ns1n2n3n4_beta2n2n5n9_100000/wav.scp
|
| 126 |
+
- speech
|
| 127 |
+
- sound
|
| 128 |
+
- - dump/raw/simu/data/swb_sre_tr_ns1n2n3n4_beta2n2n5n9_100000/espnet_rttm
|
| 129 |
+
- spk_labels
|
| 130 |
+
- rttm
|
| 131 |
+
valid_data_path_and_name_and_type:
|
| 132 |
+
- - dump/raw/simu/data/swb_sre_cv_ns1n2n3n4_beta2n2n5n9_500/wav.scp
|
| 133 |
+
- speech
|
| 134 |
+
- sound
|
| 135 |
+
- - dump/raw/simu/data/swb_sre_cv_ns1n2n3n4_beta2n2n5n9_500/espnet_rttm
|
| 136 |
+
- spk_labels
|
| 137 |
+
- rttm
|
| 138 |
+
allow_variable_data_keys: false
|
| 139 |
+
max_cache_size: 0.0
|
| 140 |
+
max_cache_fd: 32
|
| 141 |
+
valid_max_cache_size: null
|
| 142 |
+
optim: adam
|
| 143 |
+
optim_conf:
|
| 144 |
+
lr: 0.0001
|
| 145 |
+
scheduler: null
|
| 146 |
+
scheduler_conf: {}
|
| 147 |
+
num_spk: 4
|
| 148 |
+
init: null
|
| 149 |
+
input_size: null
|
| 150 |
+
model_conf:
|
| 151 |
+
attractor_weight: 1.0
|
| 152 |
+
use_preprocessor: true
|
| 153 |
+
frontend: default
|
| 154 |
+
frontend_conf:
|
| 155 |
+
fs: 8k
|
| 156 |
+
hop_length: 128
|
| 157 |
+
specaug: specaug
|
| 158 |
+
specaug_conf:
|
| 159 |
+
apply_time_warp: false
|
| 160 |
+
apply_freq_mask: true
|
| 161 |
+
freq_mask_width_range:
|
| 162 |
+
- 0
|
| 163 |
+
- 30
|
| 164 |
+
num_freq_mask: 2
|
| 165 |
+
apply_time_mask: true
|
| 166 |
+
time_mask_width_range:
|
| 167 |
+
- 0
|
| 168 |
+
- 40
|
| 169 |
+
num_time_mask: 2
|
| 170 |
+
normalize: global_mvn
|
| 171 |
+
normalize_conf:
|
| 172 |
+
stats_file: exp/diar_stats_8k/train/feats_stats.npz
|
| 173 |
+
encoder: transformer
|
| 174 |
+
encoder_conf:
|
| 175 |
+
input_layer: conv2d
|
| 176 |
+
num_blocks: 4
|
| 177 |
+
linear_units: 512
|
| 178 |
+
dropout_rate: 0.1
|
| 179 |
+
output_size: 256
|
| 180 |
+
attention_heads: 4
|
| 181 |
+
attention_dropout_rate: 0.1
|
| 182 |
+
decoder: linear
|
| 183 |
+
decoder_conf: {}
|
| 184 |
+
label_aggregator: label_aggregator
|
| 185 |
+
label_aggregator_conf:
|
| 186 |
+
win_length: 1024
|
| 187 |
+
hop_length: 512
|
| 188 |
+
attractor: rnn
|
| 189 |
+
attractor_conf:
|
| 190 |
+
unit: 256
|
| 191 |
+
layer: 1
|
| 192 |
+
dropout: 0.0
|
| 193 |
+
attractor_grad: true
|
| 194 |
+
required:
|
| 195 |
+
- output_dir
|
| 196 |
+
version: '202204'
|
| 197 |
+
distributed: true
|
| 198 |
+
```
|
| 199 |
+
|
| 200 |
+
</details>
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
### Citing ESPnet
|
| 205 |
+
|
| 206 |
+
```BibTex
|
| 207 |
+
@inproceedings{watanabe2018espnet,
|
| 208 |
+
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},
|
| 209 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
| 210 |
+
year={2018},
|
| 211 |
+
booktitle={Proceedings of Interspeech},
|
| 212 |
+
pages={2207--2211},
|
| 213 |
+
doi={10.21437/Interspeech.2018-1456},
|
| 214 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
| 215 |
+
}
|
| 216 |
+
|
| 217 |
+
|
| 218 |
+
|
| 219 |
+
|
| 220 |
+
```
|
| 221 |
+
|
| 222 |
+
or arXiv:
|
| 223 |
+
|
| 224 |
+
```bibtex
|
| 225 |
+
@misc{watanabe2018espnet,
|
| 226 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
| 227 |
+
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},
|
| 228 |
+
year={2018},
|
| 229 |
+
eprint={1804.00015},
|
| 230 |
+
archivePrefix={arXiv},
|
| 231 |
+
primaryClass={cs.CL}
|
| 232 |
+
}
|
| 233 |
+
```
|
exp/diar_stats_8k/train/feats_stats.npz
ADDED
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Binary file (1.4 kB). View file
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exp/diar_train_diar_eda_adapt_simu/13epoch.pth
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:006735290e86e1ee4bb46dc5abaa7f62ffe4c86da385fc3560407ee45dda4e04
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size 20113016
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exp/diar_train_diar_eda_adapt_simu/RESULTS.md
ADDED
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File without changes
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exp/diar_train_diar_eda_adapt_simu/config.yaml
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|
| 1 |
+
config: conf/tuning/train_diar_eda_adapt.yaml
|
| 2 |
+
print_config: false
|
| 3 |
+
log_level: INFO
|
| 4 |
+
dry_run: false
|
| 5 |
+
iterator_type: sequence
|
| 6 |
+
output_dir: exp/diar_train_diar_eda_adapt_simu
|
| 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: 4
|
| 14 |
+
dist_rank: 0
|
| 15 |
+
local_rank: 0
|
| 16 |
+
dist_master_addr: localhost
|
| 17 |
+
dist_master_port: 43777
|
| 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: 50
|
| 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 |
+
- acc
|
| 39 |
+
- max
|
| 40 |
+
- - train
|
| 41 |
+
- acc
|
| 42 |
+
- max
|
| 43 |
+
keep_nbest_models: 10
|
| 44 |
+
nbest_averaging_interval: 0
|
| 45 |
+
grad_clip: 5
|
| 46 |
+
grad_clip_type: 2.0
|
| 47 |
+
grad_noise: false
|
| 48 |
+
accum_grad: 4
|
| 49 |
+
no_forward_run: false
|
| 50 |
+
resume: true
|
| 51 |
+
train_dtype: float32
|
| 52 |
+
use_amp: false
|
| 53 |
+
log_interval: null
|
| 54 |
+
use_matplotlib: true
|
| 55 |
+
use_tensorboard: true
|
| 56 |
+
use_wandb: false
|
| 57 |
+
wandb_project: null
|
| 58 |
+
wandb_id: null
|
| 59 |
+
wandb_entity: null
|
| 60 |
+
wandb_name: null
|
| 61 |
+
wandb_model_log_interval: -1
|
| 62 |
+
detect_anomaly: false
|
| 63 |
+
pretrain_path: null
|
| 64 |
+
init_param:
|
| 65 |
+
- exp/diar_train_diar_eda_5_raw/latest.pth
|
| 66 |
+
ignore_init_mismatch: false
|
| 67 |
+
freeze_param: []
|
| 68 |
+
num_iters_per_epoch: null
|
| 69 |
+
batch_size: 16
|
| 70 |
+
valid_batch_size: null
|
| 71 |
+
batch_bins: 1000000
|
| 72 |
+
valid_batch_bins: null
|
| 73 |
+
train_shape_file:
|
| 74 |
+
- exp/diar_stats_8k/train/speech_shape
|
| 75 |
+
- exp/diar_stats_8k/train/spk_labels_shape
|
| 76 |
+
valid_shape_file:
|
| 77 |
+
- exp/diar_stats_8k/valid/speech_shape
|
| 78 |
+
- exp/diar_stats_8k/valid/spk_labels_shape
|
| 79 |
+
batch_type: folded
|
| 80 |
+
valid_batch_type: null
|
| 81 |
+
fold_length:
|
| 82 |
+
- 80000
|
| 83 |
+
- 800
|
| 84 |
+
sort_in_batch: descending
|
| 85 |
+
sort_batch: descending
|
| 86 |
+
multiple_iterator: false
|
| 87 |
+
chunk_length: 500
|
| 88 |
+
chunk_shift_ratio: 0.5
|
| 89 |
+
num_cache_chunks: 1024
|
| 90 |
+
train_data_path_and_name_and_type:
|
| 91 |
+
- - dump/raw/simu/data/swb_sre_tr_ns1n2n3n4_beta2n2n5n9_100000/wav.scp
|
| 92 |
+
- speech
|
| 93 |
+
- sound
|
| 94 |
+
- - dump/raw/simu/data/swb_sre_tr_ns1n2n3n4_beta2n2n5n9_100000/espnet_rttm
|
| 95 |
+
- spk_labels
|
| 96 |
+
- rttm
|
| 97 |
+
valid_data_path_and_name_and_type:
|
| 98 |
+
- - dump/raw/simu/data/swb_sre_cv_ns1n2n3n4_beta2n2n5n9_500/wav.scp
|
| 99 |
+
- speech
|
| 100 |
+
- sound
|
| 101 |
+
- - dump/raw/simu/data/swb_sre_cv_ns1n2n3n4_beta2n2n5n9_500/espnet_rttm
|
| 102 |
+
- spk_labels
|
| 103 |
+
- rttm
|
| 104 |
+
allow_variable_data_keys: false
|
| 105 |
+
max_cache_size: 0.0
|
| 106 |
+
max_cache_fd: 32
|
| 107 |
+
valid_max_cache_size: null
|
| 108 |
+
optim: adam
|
| 109 |
+
optim_conf:
|
| 110 |
+
lr: 0.0001
|
| 111 |
+
scheduler: null
|
| 112 |
+
scheduler_conf: {}
|
| 113 |
+
num_spk: 4
|
| 114 |
+
init: null
|
| 115 |
+
input_size: null
|
| 116 |
+
model_conf:
|
| 117 |
+
attractor_weight: 1.0
|
| 118 |
+
use_preprocessor: true
|
| 119 |
+
frontend: default
|
| 120 |
+
frontend_conf:
|
| 121 |
+
fs: 8k
|
| 122 |
+
hop_length: 128
|
| 123 |
+
specaug: specaug
|
| 124 |
+
specaug_conf:
|
| 125 |
+
apply_time_warp: false
|
| 126 |
+
apply_freq_mask: true
|
| 127 |
+
freq_mask_width_range:
|
| 128 |
+
- 0
|
| 129 |
+
- 30
|
| 130 |
+
num_freq_mask: 2
|
| 131 |
+
apply_time_mask: true
|
| 132 |
+
time_mask_width_range:
|
| 133 |
+
- 0
|
| 134 |
+
- 40
|
| 135 |
+
num_time_mask: 2
|
| 136 |
+
normalize: global_mvn
|
| 137 |
+
normalize_conf:
|
| 138 |
+
stats_file: exp/diar_stats_8k/train/feats_stats.npz
|
| 139 |
+
encoder: transformer
|
| 140 |
+
encoder_conf:
|
| 141 |
+
input_layer: conv2d
|
| 142 |
+
num_blocks: 4
|
| 143 |
+
linear_units: 512
|
| 144 |
+
dropout_rate: 0.1
|
| 145 |
+
output_size: 256
|
| 146 |
+
attention_heads: 4
|
| 147 |
+
attention_dropout_rate: 0.1
|
| 148 |
+
decoder: linear
|
| 149 |
+
decoder_conf: {}
|
| 150 |
+
label_aggregator: label_aggregator
|
| 151 |
+
label_aggregator_conf:
|
| 152 |
+
win_length: 1024
|
| 153 |
+
hop_length: 512
|
| 154 |
+
attractor: rnn
|
| 155 |
+
attractor_conf:
|
| 156 |
+
unit: 256
|
| 157 |
+
layer: 1
|
| 158 |
+
dropout: 0.0
|
| 159 |
+
attractor_grad: true
|
| 160 |
+
required:
|
| 161 |
+
- output_dir
|
| 162 |
+
version: '202204'
|
| 163 |
+
distributed: true
|
exp/diar_train_diar_eda_adapt_simu/images/acc.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/backward_time.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/cf.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/der.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/fa.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/forward_time.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/gpu_max_cached_mem_GB.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/iter_time.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/loss.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/loss_att.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/loss_pit.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/mi.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/optim0_lr0.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/optim_step_time.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/sad_fr.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/sad_mr.png
ADDED
|
exp/diar_train_diar_eda_adapt_simu/images/train_time.png
ADDED
|
meta.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
espnet: '202205'
|
| 2 |
+
files:
|
| 3 |
+
model_file: exp/diar_train_diar_eda_adapt_simu/13epoch.pth
|
| 4 |
+
python: "3.7.11 (default, Jul 27 2021, 14:32:16) \n[GCC 7.5.0]"
|
| 5 |
+
timestamp: 1656444101.362689
|
| 6 |
+
torch: 1.9.1+cu102
|
| 7 |
+
yaml_files:
|
| 8 |
+
train_config: exp/diar_train_diar_eda_adapt_simu/config.yaml
|