Emrys365
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Commit
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Parent(s):
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Update model
Browse files- README.md +328 -3
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/58epoch.pth +3 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/config.yaml +241 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/enhanced_test_16k/RESULTS.md +23 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/enhanced_test_48k/RESULTS.md +18 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/backward_time.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/clip.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/forward_time.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/gpu_max_cached_mem_GB.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/grad_norm.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/iter_time.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_16k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_16k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_24k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_48k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_8k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_8k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_16k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_16k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_8k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_8k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_5ch_16k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_5ch_8k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_8ch_16k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_8ch_8k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/loss.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/loss_scale.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/optim0_lr0.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/optim_step_time.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_16k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_16k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_24k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_48k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_8k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_8k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_16k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_16k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_8k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_8k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_5ch_16k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_5ch_8k.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_8ch_16k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_8ch_8k_r.png +0 -0
- exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/train_time.png +0 -0
- meta.yaml +8 -0
README.md
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---
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tags:
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- espnet
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- audio
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- audio-to-audio
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language: en
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datasets:
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- universal_se
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license: cc-by-4.0
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---
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## ESPnet2 ENH model
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### `wyz/vctk_bsrnn_small_noncausal`
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This model was trained by Emrys365 using universal_se recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
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if you haven't done that already.
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```bash
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cd espnet
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git checkout 443028662106472c60fe8bd892cb277e5b488651
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pip install -e .
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cd egs2/universal_se/enh1
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./run.sh --skip_data_prep false --skip_train true --download_model wyz/vctk_bsrnn_small_noncausal
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```
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|
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## ENH config
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<details><summary>expand</summary>
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```
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config: conf/tuning/train_enh_bsrnn_small_noncausal.yaml
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print_config: false
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log_level: INFO
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dry_run: false
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iterator_type: chunk
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output_dir: exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw
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ngpu: 1
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seed: 0
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num_workers: 4
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num_att_plot: 3
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: null
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dist_rank: null
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local_rank: 0
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dist_master_addr: null
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dist_master_port: null
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dist_launcher: null
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multiprocessing_distributed: false
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unused_parameters: true
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: false
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cudnn_deterministic: true
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collect_stats: false
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write_collected_feats: false
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max_epoch: 100
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patience: 30
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val_scheduler_criterion:
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- valid
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- loss
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early_stopping_criterion:
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- valid
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- loss
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- min
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best_model_criterion:
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- - valid
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+
- loss
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+
- min
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+
keep_nbest_models: 1
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+
nbest_averaging_interval: 0
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+
grad_clip: 5.0
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+
grad_clip_type: 2.0
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+
grad_noise: false
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+
accum_grad: 1
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+
no_forward_run: false
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+
resume: true
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+
save_interval: 1000
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+
train_dtype: float32
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+
use_amp: false
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+
log_interval: null
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+
use_matplotlib: true
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use_tensorboard: true
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+
create_graph_in_tensorboard: false
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use_wandb: false
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wandb_project: null
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wandb_id: null
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wandb_entity: null
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wandb_name: null
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wandb_model_log_interval: -1
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detect_anomaly: false
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pretrain_path: null
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init_param: []
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ignore_init_mismatch: false
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freeze_param: []
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num_iters_per_epoch: 8000
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num_iters_valid: null
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batch_size: 4
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valid_batch_size: null
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batch_bins: 1000000
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valid_batch_bins: null
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train_shape_file:
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+
- exp_vctk/enh_stats_16k/train/speech_mix_shape
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+
- exp_vctk/enh_stats_16k/train/speech_ref1_shape
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- exp_vctk/enh_stats_16k/train/dereverb_ref1_shape
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+
valid_shape_file:
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+
- exp_vctk/enh_stats_16k/valid/speech_mix_shape
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+
- exp_vctk/enh_stats_16k/valid/speech_ref1_shape
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+
- exp_vctk/enh_stats_16k/valid/dereverb_ref1_shape
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+
batch_type: folded
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valid_batch_type: null
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+
fold_length:
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+
- 80000
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+
- 80000
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+
- 80000
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+
sort_in_batch: descending
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sort_batch: descending
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+
multiple_iterator: false
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+
chunk_length: 32000
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+
chunk_shift_ratio: 0.5
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+
num_cache_chunks: 1024
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+
chunk_excluded_key_prefixes: []
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+
chunk_discard_short_samples: false
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+
train_data_path_and_name_and_type:
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+
- - dump/raw/vctk_noisy_tr_26spk/wav.scp
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+
- speech_mix
|
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+
- sound
|
135 |
+
- - dump/raw/vctk_noisy_tr_26spk/spk1.scp
|
136 |
+
- speech_ref1
|
137 |
+
- sound
|
138 |
+
- - dump/raw/vctk_noisy_tr_26spk/dereverb1.scp
|
139 |
+
- dereverb_ref1
|
140 |
+
- sound
|
141 |
+
- - dump/raw/vctk_noisy_tr_26spk/utt2category
|
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+
- category
|
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+
- text
|
144 |
+
- - dump/raw/vctk_noisy_tr_26spk/utt2fs
|
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+
- fs
|
146 |
+
- text_int
|
147 |
+
valid_data_path_and_name_and_type:
|
148 |
+
- - dump/raw/vctk_noisy_cv_2spk/wav.scp
|
149 |
+
- speech_mix
|
150 |
+
- sound
|
151 |
+
- - dump/raw/vctk_noisy_cv_2spk/spk1.scp
|
152 |
+
- speech_ref1
|
153 |
+
- sound
|
154 |
+
- - dump/raw/vctk_noisy_cv_2spk/dereverb1.scp
|
155 |
+
- dereverb_ref1
|
156 |
+
- sound
|
157 |
+
- - dump/raw/vctk_noisy_cv_2spk/utt2category
|
158 |
+
- category
|
159 |
+
- text
|
160 |
+
- - dump/raw/vctk_noisy_cv_2spk/utt2fs
|
161 |
+
- fs
|
162 |
+
- text_int
|
163 |
+
allow_variable_data_keys: false
|
164 |
+
max_cache_size: 0.0
|
165 |
+
max_cache_fd: 32
|
166 |
+
allow_multi_rates: true
|
167 |
+
valid_max_cache_size: null
|
168 |
+
exclude_weight_decay: false
|
169 |
+
exclude_weight_decay_conf: {}
|
170 |
+
optim: adam
|
171 |
+
optim_conf:
|
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+
lr: 0.001
|
173 |
+
eps: 1.0e-08
|
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+
weight_decay: 1.0e-05
|
175 |
+
scheduler: steplr
|
176 |
+
scheduler_conf:
|
177 |
+
step_size: 2
|
178 |
+
gamma: 0.99
|
179 |
+
init: null
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+
model_conf:
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+
normalize_variance_per_ch: true
|
182 |
+
categories:
|
183 |
+
- 1ch_8k
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184 |
+
- 1ch_8k_r
|
185 |
+
- 1ch_16k_r
|
186 |
+
- 1ch_48k
|
187 |
+
- 1ch_24k
|
188 |
+
- 1ch_16k
|
189 |
+
- 2ch_8k
|
190 |
+
- 2ch_8k_r
|
191 |
+
- 2ch_16k
|
192 |
+
- 2ch_16k_r
|
193 |
+
- 5ch_8k
|
194 |
+
- 5ch_16k
|
195 |
+
- 8ch_8k_r
|
196 |
+
- 8ch_16k_r
|
197 |
+
criterions:
|
198 |
+
- name: mr_l1_tfd
|
199 |
+
conf:
|
200 |
+
window_sz:
|
201 |
+
- 256
|
202 |
+
- 512
|
203 |
+
- 768
|
204 |
+
- 1024
|
205 |
+
hop_sz: null
|
206 |
+
eps: 1.0e-08
|
207 |
+
time_domain_weight: 0.5
|
208 |
+
normalize_variance: true
|
209 |
+
wrapper: fixed_order
|
210 |
+
wrapper_conf:
|
211 |
+
weight: 1.0
|
212 |
+
- name: si_snr
|
213 |
+
conf:
|
214 |
+
eps: 1.0e-07
|
215 |
+
wrapper: fixed_order
|
216 |
+
wrapper_conf:
|
217 |
+
weight: 0.0
|
218 |
+
speech_volume_normalize: null
|
219 |
+
rir_scp: null
|
220 |
+
rir_apply_prob: 1.0
|
221 |
+
noise_scp: null
|
222 |
+
noise_apply_prob: 1.0
|
223 |
+
noise_db_range: '13_15'
|
224 |
+
short_noise_thres: 0.5
|
225 |
+
use_reverberant_ref: false
|
226 |
+
num_spk: 1
|
227 |
+
num_noise_type: 1
|
228 |
+
sample_rate: 8000
|
229 |
+
force_single_channel: true
|
230 |
+
channel_reordering: true
|
231 |
+
categories:
|
232 |
+
- 1ch_8k
|
233 |
+
- 1ch_8k_r
|
234 |
+
- 1ch_16k_r
|
235 |
+
- 1ch_48k
|
236 |
+
- 1ch_24k
|
237 |
+
- 1ch_16k
|
238 |
+
- 2ch_8k
|
239 |
+
- 2ch_8k_r
|
240 |
+
- 2ch_16k
|
241 |
+
- 2ch_16k_r
|
242 |
+
- 5ch_8k
|
243 |
+
- 5ch_16k
|
244 |
+
- 8ch_8k_r
|
245 |
+
- 8ch_16k_r
|
246 |
+
speech_segment: null
|
247 |
+
avoid_allzero_segment: true
|
248 |
+
flexible_numspk: false
|
249 |
+
dynamic_mixing: false
|
250 |
+
utt2spk: null
|
251 |
+
dynamic_mixing_gain_db: 0.0
|
252 |
+
encoder: stft
|
253 |
+
encoder_conf:
|
254 |
+
n_fft: 960
|
255 |
+
hop_length: 480
|
256 |
+
use_builtin_complex: true
|
257 |
+
default_fs: 48000
|
258 |
+
separator: bsrnn
|
259 |
+
separator_conf:
|
260 |
+
num_spk: 1
|
261 |
+
num_channels: 64
|
262 |
+
num_layers: 6
|
263 |
+
target_fs: 48000
|
264 |
+
ref_channel: 0
|
265 |
+
causal: false
|
266 |
+
decoder: stft
|
267 |
+
decoder_conf:
|
268 |
+
n_fft: 960
|
269 |
+
hop_length: 480
|
270 |
+
default_fs: 48000
|
271 |
+
mask_module: multi_mask
|
272 |
+
mask_module_conf: {}
|
273 |
+
preprocessor: enh
|
274 |
+
preprocessor_conf: {}
|
275 |
+
required:
|
276 |
+
- output_dir
|
277 |
+
version: '202304'
|
278 |
+
distributed: false
|
279 |
+
```
|
280 |
+
|
281 |
+
</details>
|
282 |
+
|
283 |
+
|
284 |
+
|
285 |
+
### Citing ESPnet
|
286 |
+
|
287 |
+
```BibTex
|
288 |
+
@inproceedings{watanabe2018espnet,
|
289 |
+
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},
|
290 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
291 |
+
year={2018},
|
292 |
+
booktitle={Proceedings of Interspeech},
|
293 |
+
pages={2207--2211},
|
294 |
+
doi={10.21437/Interspeech.2018-1456},
|
295 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
296 |
+
}
|
297 |
+
|
298 |
+
|
299 |
+
@inproceedings{ESPnet-SE,
|
300 |
+
author = {Chenda Li and Jing Shi and Wangyou Zhang and Aswin Shanmugam Subramanian and Xuankai Chang and
|
301 |
+
Naoyuki Kamo and Moto Hira and Tomoki Hayashi and Christoph B{"{o}}ddeker and Zhuo Chen and Shinji Watanabe},
|
302 |
+
title = {ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for {ASR} Integration},
|
303 |
+
booktitle = {{IEEE} Spoken Language Technology Workshop, {SLT} 2021, Shenzhen, China, January 19-22, 2021},
|
304 |
+
pages = {785--792},
|
305 |
+
publisher = {{IEEE}},
|
306 |
+
year = {2021},
|
307 |
+
url = {https://doi.org/10.1109/SLT48900.2021.9383615},
|
308 |
+
doi = {10.1109/SLT48900.2021.9383615},
|
309 |
+
timestamp = {Mon, 12 Apr 2021 17:08:59 +0200},
|
310 |
+
biburl = {https://dblp.org/rec/conf/slt/Li0ZSCKHHBC021.bib},
|
311 |
+
bibsource = {dblp computer science bibliography, https://dblp.org}
|
312 |
+
}
|
313 |
+
|
314 |
+
|
315 |
+
```
|
316 |
+
|
317 |
+
or arXiv:
|
318 |
+
|
319 |
+
```bibtex
|
320 |
+
@misc{watanabe2018espnet,
|
321 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
322 |
+
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},
|
323 |
+
year={2018},
|
324 |
+
eprint={1804.00015},
|
325 |
+
archivePrefix={arXiv},
|
326 |
+
primaryClass={cs.CL}
|
327 |
+
}
|
328 |
+
```
|
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/58epoch.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6d4edcb2e2bd84ee2165712ec0ba0c4d9ae6c7f6f8b49ec84cd68b885eefd8f
|
3 |
+
size 19355529
|
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/config.yaml
ADDED
@@ -0,0 +1,241 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/tuning/train_enh_bsrnn_small_noncausal.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: chunk
|
6 |
+
output_dir: exp_vctk/enh_train_enh_bsrnn_small_noncausal_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: true
|
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: 30
|
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: 1
|
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 |
+
save_interval: 1000
|
49 |
+
train_dtype: float32
|
50 |
+
use_amp: false
|
51 |
+
log_interval: null
|
52 |
+
use_matplotlib: true
|
53 |
+
use_tensorboard: true
|
54 |
+
create_graph_in_tensorboard: false
|
55 |
+
use_wandb: false
|
56 |
+
wandb_project: null
|
57 |
+
wandb_id: null
|
58 |
+
wandb_entity: null
|
59 |
+
wandb_name: null
|
60 |
+
wandb_model_log_interval: -1
|
61 |
+
detect_anomaly: false
|
62 |
+
pretrain_path: null
|
63 |
+
init_param: []
|
64 |
+
ignore_init_mismatch: false
|
65 |
+
freeze_param: []
|
66 |
+
num_iters_per_epoch: 8000
|
67 |
+
num_iters_valid: null
|
68 |
+
batch_size: 4
|
69 |
+
valid_batch_size: null
|
70 |
+
batch_bins: 1000000
|
71 |
+
valid_batch_bins: null
|
72 |
+
train_shape_file:
|
73 |
+
- exp_vctk/enh_stats_16k/train/speech_mix_shape
|
74 |
+
- exp_vctk/enh_stats_16k/train/speech_ref1_shape
|
75 |
+
- exp_vctk/enh_stats_16k/train/dereverb_ref1_shape
|
76 |
+
valid_shape_file:
|
77 |
+
- exp_vctk/enh_stats_16k/valid/speech_mix_shape
|
78 |
+
- exp_vctk/enh_stats_16k/valid/speech_ref1_shape
|
79 |
+
- exp_vctk/enh_stats_16k/valid/dereverb_ref1_shape
|
80 |
+
batch_type: folded
|
81 |
+
valid_batch_type: null
|
82 |
+
fold_length:
|
83 |
+
- 80000
|
84 |
+
- 80000
|
85 |
+
- 80000
|
86 |
+
sort_in_batch: descending
|
87 |
+
sort_batch: descending
|
88 |
+
multiple_iterator: false
|
89 |
+
chunk_length: 32000
|
90 |
+
chunk_shift_ratio: 0.5
|
91 |
+
num_cache_chunks: 1024
|
92 |
+
chunk_excluded_key_prefixes: []
|
93 |
+
chunk_discard_short_samples: false
|
94 |
+
train_data_path_and_name_and_type:
|
95 |
+
- - dump/raw/vctk_noisy_tr_26spk/wav.scp
|
96 |
+
- speech_mix
|
97 |
+
- sound
|
98 |
+
- - dump/raw/vctk_noisy_tr_26spk/spk1.scp
|
99 |
+
- speech_ref1
|
100 |
+
- sound
|
101 |
+
- - dump/raw/vctk_noisy_tr_26spk/dereverb1.scp
|
102 |
+
- dereverb_ref1
|
103 |
+
- sound
|
104 |
+
- - dump/raw/vctk_noisy_tr_26spk/utt2category
|
105 |
+
- category
|
106 |
+
- text
|
107 |
+
- - dump/raw/vctk_noisy_tr_26spk/utt2fs
|
108 |
+
- fs
|
109 |
+
- text_int
|
110 |
+
valid_data_path_and_name_and_type:
|
111 |
+
- - dump/raw/vctk_noisy_cv_2spk/wav.scp
|
112 |
+
- speech_mix
|
113 |
+
- sound
|
114 |
+
- - dump/raw/vctk_noisy_cv_2spk/spk1.scp
|
115 |
+
- speech_ref1
|
116 |
+
- sound
|
117 |
+
- - dump/raw/vctk_noisy_cv_2spk/dereverb1.scp
|
118 |
+
- dereverb_ref1
|
119 |
+
- sound
|
120 |
+
- - dump/raw/vctk_noisy_cv_2spk/utt2category
|
121 |
+
- category
|
122 |
+
- text
|
123 |
+
- - dump/raw/vctk_noisy_cv_2spk/utt2fs
|
124 |
+
- fs
|
125 |
+
- text_int
|
126 |
+
allow_variable_data_keys: false
|
127 |
+
max_cache_size: 0.0
|
128 |
+
max_cache_fd: 32
|
129 |
+
allow_multi_rates: true
|
130 |
+
valid_max_cache_size: null
|
131 |
+
exclude_weight_decay: false
|
132 |
+
exclude_weight_decay_conf: {}
|
133 |
+
optim: adam
|
134 |
+
optim_conf:
|
135 |
+
lr: 0.001
|
136 |
+
eps: 1.0e-08
|
137 |
+
weight_decay: 1.0e-05
|
138 |
+
scheduler: steplr
|
139 |
+
scheduler_conf:
|
140 |
+
step_size: 2
|
141 |
+
gamma: 0.99
|
142 |
+
init: null
|
143 |
+
model_conf:
|
144 |
+
normalize_variance_per_ch: true
|
145 |
+
categories:
|
146 |
+
- 1ch_8k
|
147 |
+
- 1ch_8k_r
|
148 |
+
- 1ch_16k_r
|
149 |
+
- 1ch_48k
|
150 |
+
- 1ch_24k
|
151 |
+
- 1ch_16k
|
152 |
+
- 2ch_8k
|
153 |
+
- 2ch_8k_r
|
154 |
+
- 2ch_16k
|
155 |
+
- 2ch_16k_r
|
156 |
+
- 5ch_8k
|
157 |
+
- 5ch_16k
|
158 |
+
- 8ch_8k_r
|
159 |
+
- 8ch_16k_r
|
160 |
+
criterions:
|
161 |
+
- name: mr_l1_tfd
|
162 |
+
conf:
|
163 |
+
window_sz:
|
164 |
+
- 256
|
165 |
+
- 512
|
166 |
+
- 768
|
167 |
+
- 1024
|
168 |
+
hop_sz: null
|
169 |
+
eps: 1.0e-08
|
170 |
+
time_domain_weight: 0.5
|
171 |
+
normalize_variance: true
|
172 |
+
wrapper: fixed_order
|
173 |
+
wrapper_conf:
|
174 |
+
weight: 1.0
|
175 |
+
- name: si_snr
|
176 |
+
conf:
|
177 |
+
eps: 1.0e-07
|
178 |
+
wrapper: fixed_order
|
179 |
+
wrapper_conf:
|
180 |
+
weight: 0.0
|
181 |
+
speech_volume_normalize: null
|
182 |
+
rir_scp: null
|
183 |
+
rir_apply_prob: 1.0
|
184 |
+
noise_scp: null
|
185 |
+
noise_apply_prob: 1.0
|
186 |
+
noise_db_range: '13_15'
|
187 |
+
short_noise_thres: 0.5
|
188 |
+
use_reverberant_ref: false
|
189 |
+
num_spk: 1
|
190 |
+
num_noise_type: 1
|
191 |
+
sample_rate: 8000
|
192 |
+
force_single_channel: true
|
193 |
+
channel_reordering: true
|
194 |
+
categories:
|
195 |
+
- 1ch_8k
|
196 |
+
- 1ch_8k_r
|
197 |
+
- 1ch_16k_r
|
198 |
+
- 1ch_48k
|
199 |
+
- 1ch_24k
|
200 |
+
- 1ch_16k
|
201 |
+
- 2ch_8k
|
202 |
+
- 2ch_8k_r
|
203 |
+
- 2ch_16k
|
204 |
+
- 2ch_16k_r
|
205 |
+
- 5ch_8k
|
206 |
+
- 5ch_16k
|
207 |
+
- 8ch_8k_r
|
208 |
+
- 8ch_16k_r
|
209 |
+
speech_segment: null
|
210 |
+
avoid_allzero_segment: true
|
211 |
+
flexible_numspk: false
|
212 |
+
dynamic_mixing: false
|
213 |
+
utt2spk: null
|
214 |
+
dynamic_mixing_gain_db: 0.0
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215 |
+
encoder: stft
|
216 |
+
encoder_conf:
|
217 |
+
n_fft: 960
|
218 |
+
hop_length: 480
|
219 |
+
use_builtin_complex: true
|
220 |
+
default_fs: 48000
|
221 |
+
separator: bsrnn
|
222 |
+
separator_conf:
|
223 |
+
num_spk: 1
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224 |
+
num_channels: 64
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+
num_layers: 6
|
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+
target_fs: 48000
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+
ref_channel: 0
|
228 |
+
causal: false
|
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+
decoder: stft
|
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+
decoder_conf:
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231 |
+
n_fft: 960
|
232 |
+
hop_length: 480
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233 |
+
default_fs: 48000
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234 |
+
mask_module: multi_mask
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235 |
+
mask_module_conf: {}
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+
preprocessor: enh
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+
preprocessor_conf: {}
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+
required:
|
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+
- output_dir
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+
version: '202304'
|
241 |
+
distributed: false
|
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/enhanced_test_16k/RESULTS.md
ADDED
@@ -0,0 +1,23 @@
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+
<!-- Generated by ./scripts/utils/show_enh_score.sh -->
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+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Wed Feb 28 10:43:40 EST 2024`
|
5 |
+
- python version: `3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0]`
|
6 |
+
- espnet version: `espnet 202304`
|
7 |
+
- pytorch version: `pytorch 2.0.1+cu118`
|
8 |
+
- Git hash: `443028662106472c60fe8bd892cb277e5b488651`
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9 |
+
- Commit date: `Thu May 11 03:32:59 2023 +0000`
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+
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+
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## enhanced_test_16k
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|
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|dataset|PESQ_WB|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS|
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+
|---|---|---|---|---|---|---|---|---|---|---|
|
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+
|chime4_et05_real_isolated_6ch_track|1.11|48.47|-3.59|-3.59|0.00|-31.33|2.72|3.05|3.70|3.40|
|
18 |
+
|chime4_et05_simu_isolated_6ch_track|1.20|69.10|5.17|5.17|0.00|-0.97|2.54|2.84|3.72|3.03|
|
19 |
+
|dns20_tt_synthetic_no_reverb|2.20|93.38|13.69|13.69|0.00|12.74|3.21|3.53|3.95|3.85|
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20 |
+
|reverb_et_real_8ch_multich|1.06|39.76|-0.78|-0.78|0.00|-5.26|2.05|2.37|3.35|2.73|
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+
|reverb_et_simu_8ch_multich|1.47|74.58|7.08|7.08|0.00|-12.38|2.80|3.13|3.78|3.45|
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+
|whamr_tt_mix_single_reverb_max_16k|1.27|73.26|4.50|4.50|0.00|0.23|2.59|2.90|3.75|3.31|
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+
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exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/enhanced_test_48k/RESULTS.md
ADDED
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+
<!-- Generated by ./scripts/utils/show_enh_score.sh -->
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+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Wed Dec 27 19:25:48 EST 2023`
|
5 |
+
- python version: `3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0]`
|
6 |
+
- espnet version: `espnet 202304`
|
7 |
+
- pytorch version: `pytorch 2.0.1+cu118`
|
8 |
+
- Git hash: `443028662106472c60fe8bd892cb277e5b488651`
|
9 |
+
- Commit date: `Thu May 11 03:32:59 2023 +0000`
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+
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+
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+
## enhanced_test_48k
|
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+
|
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+
|dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS|
|
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+
|---|---|---|---|---|---|---|---|---|---|
|
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+
|vctk_noisy_tt_2spk|95.16|20.27|20.27|0.00|19.29|3.16|3.47|3.98|3.52|
|
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+
|
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/backward_time.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/clip.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/forward_time.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/gpu_max_cached_mem_GB.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/grad_norm.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/iter_time.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_16k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_16k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_24k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_48k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_8k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_1ch_8k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_16k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_16k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_8k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_2ch_8k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_5ch_16k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_5ch_8k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_8ch_16k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/l1_timedomain+magspec_loss_8ch_8k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/loss.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/loss_scale.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/optim0_lr0.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/optim_step_time.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_16k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_16k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_24k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_48k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_8k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_1ch_8k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_16k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_16k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_8k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_2ch_8k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_5ch_16k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_5ch_8k.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_8ch_16k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/si_snr_loss_8ch_8k_r.png
ADDED
exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/images/train_time.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
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espnet: '202304'
|
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+
files:
|
3 |
+
model_file: exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/58epoch.pth
|
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+
python: "3.8.16 (default, Mar 2 2023, 03:21:46) \n[GCC 11.2.0]"
|
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+
timestamp: 1722935070.232803
|
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+
torch: 2.0.1+cu118
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp_vctk/enh_train_enh_bsrnn_small_noncausal_raw/config.yaml
|