|
--- |
|
tags: |
|
- espnet |
|
- audio |
|
- audio-to-audio |
|
language: en |
|
datasets: |
|
- wsj0_2mix |
|
license: cc-by-4.0 |
|
--- |
|
|
|
## ESPnet2 ENH model |
|
|
|
### `lichenda/wsj0_2mix_skim_small_causal` |
|
|
|
This model was trained by Chenda Li using wsj0_2mix recipe in [espnet](https://github.com/espnet/espnet/). |
|
|
|
### Demo: How to use in ESPnet2 |
|
|
|
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html) |
|
if you haven't done that already. |
|
|
|
```bash |
|
cd espnet |
|
git checkout 3897ed8380bfb526d5c5dd2197eccbffbba7d8f8 |
|
pip install -e . |
|
cd egs2/wsj0_2mix/enh1 |
|
./run.sh --skip_data_prep false --skip_train true --download_model lichenda/wsj0_2mix_skim_small_causal |
|
``` |
|
|
|
<!-- Generated by ./scripts/utils/show_enh_score.sh --> |
|
# RESULTS |
|
## Environments |
|
- date: `Wed May 10 20:30:26 CST 2023` |
|
- python version: `3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]` |
|
- espnet version: `espnet 202304` |
|
- pytorch version: `pytorch 2.0.1` |
|
- Git hash: `3897ed8380bfb526d5c5dd2197eccbffbba7d8f8` |
|
- Commit date: `Tue May 9 13:27:37 2023 +0800` |
|
|
|
|
|
## enh_train_enh_skim_causal_small_raw |
|
|
|
config: conf/tuning/train_enh_skim_causal_small.yaml |
|
|
|
|dataset|STOI|SAR|SDR|SIR|SI_SNR| |
|
|---|---|---|---|---|---| |
|
|enhanced_cv_min_8k|93.41|15.54|14.92|24.87|14.51| |
|
|enhanced_tt_min_8k|94.20|15.00|14.33|24.18|13.92| |
|
|
|
## ENH config |
|
|
|
<details><summary>expand</summary> |
|
|
|
``` |
|
config: conf/tuning/train_enh_skim_causal_small.yaml |
|
print_config: false |
|
log_level: INFO |
|
dry_run: false |
|
iterator_type: chunk |
|
output_dir: exp/enh_train_enh_skim_causal_small_raw |
|
ngpu: 1 |
|
seed: 0 |
|
num_workers: 4 |
|
num_att_plot: 3 |
|
dist_backend: nccl |
|
dist_init_method: env:// |
|
dist_world_size: null |
|
dist_rank: null |
|
local_rank: 0 |
|
dist_master_addr: null |
|
dist_master_port: null |
|
dist_launcher: null |
|
multiprocessing_distributed: false |
|
unused_parameters: false |
|
sharded_ddp: false |
|
cudnn_enabled: true |
|
cudnn_benchmark: false |
|
cudnn_deterministic: true |
|
collect_stats: false |
|
write_collected_feats: false |
|
max_epoch: 150 |
|
patience: 50 |
|
val_scheduler_criterion: |
|
- valid |
|
- loss |
|
early_stopping_criterion: |
|
- valid |
|
- loss |
|
- min |
|
best_model_criterion: |
|
- - valid |
|
- si_snr_loss |
|
- min |
|
- - valid |
|
- loss |
|
- min |
|
keep_nbest_models: 1 |
|
nbest_averaging_interval: 0 |
|
grad_clip: 5.0 |
|
grad_clip_type: 2.0 |
|
grad_noise: false |
|
accum_grad: 1 |
|
no_forward_run: false |
|
resume: true |
|
train_dtype: float32 |
|
use_amp: false |
|
log_interval: null |
|
use_matplotlib: true |
|
use_tensorboard: true |
|
create_graph_in_tensorboard: false |
|
use_wandb: false |
|
wandb_project: null |
|
wandb_id: null |
|
wandb_entity: null |
|
wandb_name: null |
|
wandb_model_log_interval: -1 |
|
detect_anomaly: false |
|
pretrain_path: null |
|
init_param: [] |
|
ignore_init_mismatch: false |
|
freeze_param: [] |
|
num_iters_per_epoch: null |
|
batch_size: 16 |
|
valid_batch_size: null |
|
batch_bins: 1000000 |
|
valid_batch_bins: null |
|
train_shape_file: |
|
- exp/enh_stats_8k/train/speech_mix_shape |
|
- exp/enh_stats_8k/train/speech_ref1_shape |
|
- exp/enh_stats_8k/train/speech_ref2_shape |
|
valid_shape_file: |
|
- exp/enh_stats_8k/valid/speech_mix_shape |
|
- exp/enh_stats_8k/valid/speech_ref1_shape |
|
- exp/enh_stats_8k/valid/speech_ref2_shape |
|
batch_type: folded |
|
valid_batch_type: null |
|
fold_length: |
|
- 80000 |
|
- 80000 |
|
- 80000 |
|
sort_in_batch: descending |
|
sort_batch: descending |
|
multiple_iterator: false |
|
chunk_length: 32000,16000,8000 |
|
chunk_shift_ratio: 0.5 |
|
num_cache_chunks: 1024 |
|
chunk_excluded_key_prefixes: [] |
|
train_data_path_and_name_and_type: |
|
- - dump/raw/tr_min_8k/wav.scp |
|
- speech_mix |
|
- sound |
|
- - dump/raw/tr_min_8k/spk1.scp |
|
- speech_ref1 |
|
- sound |
|
- - dump/raw/tr_min_8k/spk2.scp |
|
- speech_ref2 |
|
- sound |
|
valid_data_path_and_name_and_type: |
|
- - dump/raw/cv_min_8k/wav.scp |
|
- speech_mix |
|
- sound |
|
- - dump/raw/cv_min_8k/spk1.scp |
|
- speech_ref1 |
|
- sound |
|
- - dump/raw/cv_min_8k/spk2.scp |
|
- speech_ref2 |
|
- sound |
|
allow_variable_data_keys: false |
|
max_cache_size: 0.0 |
|
max_cache_fd: 32 |
|
valid_max_cache_size: null |
|
exclude_weight_decay: false |
|
exclude_weight_decay_conf: {} |
|
optim: adam |
|
optim_conf: |
|
lr: 0.001 |
|
eps: 1.0e-08 |
|
weight_decay: 0 |
|
scheduler: steplr |
|
scheduler_conf: |
|
step_size: 2 |
|
gamma: 0.97 |
|
init: xavier_uniform |
|
model_conf: |
|
stft_consistency: false |
|
loss_type: mask_mse |
|
mask_type: null |
|
criterions: |
|
- name: si_snr |
|
conf: {} |
|
wrapper: pit |
|
wrapper_conf: |
|
weight: 1.0 |
|
independent_perm: true |
|
speech_volume_normalize: null |
|
rir_scp: null |
|
rir_apply_prob: 1.0 |
|
noise_scp: null |
|
noise_apply_prob: 1.0 |
|
noise_db_range: '13_15' |
|
short_noise_thres: 0.5 |
|
use_reverberant_ref: false |
|
num_spk: 1 |
|
num_noise_type: 1 |
|
sample_rate: 8000 |
|
force_single_channel: false |
|
dynamic_mixing: false |
|
utt2spk: null |
|
dynamic_mixing_gain_db: 0.0 |
|
encoder: conv |
|
encoder_conf: |
|
channel: 128 |
|
kernel_size: 8 |
|
stride: 4 |
|
separator: skim |
|
separator_conf: |
|
causal: true |
|
num_spk: 2 |
|
layer: 3 |
|
nonlinear: relu |
|
unit: 384 |
|
segment_size: 50 |
|
dropout: 0.0 |
|
mem_type: hc |
|
seg_overlap: false |
|
decoder: conv |
|
decoder_conf: |
|
channel: 128 |
|
kernel_size: 8 |
|
stride: 4 |
|
mask_module: multi_mask |
|
mask_module_conf: {} |
|
preprocessor: null |
|
preprocessor_conf: {} |
|
required: |
|
- output_dir |
|
version: '202304' |
|
distributed: false |
|
``` |
|
|
|
</details> |
|
|
|
|
|
|
|
### Citing ESPnet |
|
|
|
```BibTex |
|
@inproceedings{watanabe2018espnet, |
|
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}, |
|
title={{ESPnet}: End-to-End Speech Processing Toolkit}, |
|
year={2018}, |
|
booktitle={Proceedings of Interspeech}, |
|
pages={2207--2211}, |
|
doi={10.21437/Interspeech.2018-1456}, |
|
url={http://dx.doi.org/10.21437/Interspeech.2018-1456} |
|
} |
|
|
|
|
|
@inproceedings{ESPnet-SE, |
|
author = {Chenda Li and Jing Shi and Wangyou Zhang and Aswin Shanmugam Subramanian and Xuankai Chang and |
|
Naoyuki Kamo and Moto Hira and Tomoki Hayashi and Christoph B{"{o}}ddeker and Zhuo Chen and Shinji Watanabe}, |
|
title = {ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for {ASR} Integration}, |
|
booktitle = {{IEEE} Spoken Language Technology Workshop, {SLT} 2021, Shenzhen, China, January 19-22, 2021}, |
|
pages = {785--792}, |
|
publisher = {{IEEE}}, |
|
year = {2021}, |
|
url = {https://doi.org/10.1109/SLT48900.2021.9383615}, |
|
doi = {10.1109/SLT48900.2021.9383615}, |
|
timestamp = {Mon, 12 Apr 2021 17:08:59 +0200}, |
|
biburl = {https://dblp.org/rec/conf/slt/Li0ZSCKHHBC021.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
|
} |
|
|
|
|
|
@inproceedings{liSkimSkippingMemory2022, |
|
title = {Skim: {{Skipping Memory Lstm}} for {{Low-Latency Real-Time Continuous Speech Separation}}}, |
|
shorttitle = {Skim}, |
|
booktitle = {{{ICASSP}} 2022 - 2022 {{IEEE International Conference}} on {{Acoustics}}, {{Speech}} and {{Signal Processing}} ({{ICASSP}})}, |
|
author = {Li, Chenda and Yang, Lei and Wang, Weiqin and Qian, Yanmin}, |
|
year = {2022}, |
|
month = may, |
|
pages = {681--685}, |
|
issn = {2379-190X}, |
|
doi = {10.1109/ICASSP43922.2022.9746372}, |
|
} |
|
|
|
|
|
``` |
|
|
|
or arXiv: |
|
|
|
```bibtex |
|
@misc{watanabe2018espnet, |
|
title={ESPnet: End-to-End Speech Processing Toolkit}, |
|
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}, |
|
year={2018}, |
|
eprint={1804.00015}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
|
|
