Update model

README.md

@@ -0,0 +1,263 @@
+---
+tags:
+- espnet
+- audio
+- audio-to-audio
+language: en
+datasets:
+- wsj0_2mix
+license: cc-by-4.0
+---
+
+## ESPnet2 ENH model 
+
+### `Yulinfeng/wsj0_2mix_enh_train_enh_dan_tf_raw_valid.si_snr.ave`
+
+This model was trained by earthmanylf using wsj0_2mix recipe in [espnet](https://github.com/espnet/espnet/).
+
+### Demo: How to use in ESPnet2
+
+```bash
+cd espnet
+git checkout ec1acec03d109f06d829b80862e0388f7234d0d1
+pip install -e .
+cd egs2/wsj0_2mix/enh1
+./run.sh --skip_data_prep false --skip_train true --download_model Yulinfeng/wsj0_2mix_enh_train_enh_dan_tf_raw_valid.si_snr.ave
+```
+
+<!-- Generated by ./scripts/utils/show_enh_score.sh -->
+# RESULTS
+## Environments
+- date: `Thu Mar  3 14:33:32 CST 2022`
+- python version: `3.8.10 (default, May 19 2021, 18:05:58)  [GCC 7.3.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.5.1+cu101`
+- Git hash: `ec1acec03d109f06d829b80862e0388f7234d0d1`
+  - Commit date: `Fri Feb 25 14:12:45 2022 +0800`
+
+
+## ..
+
+config: conf/tuning/train_enh_dan_tf.yaml
+
+|dataset|PESQ|STOI|SAR|SDR|SIR|SI_SNR|
+|---|---|---|---|---|---|---|
+|enhanced_cv_min_8k|2.68|0.88|12.28|11.01|18.03|10.48|
+|enhanced_tt_min_8k|2.68|0.89|12.10|10.84|17.98|10.30|
+
+## ENH config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_enh_dan_tf.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: chunk
+output_dir: exp/enh_train_enh_dan_tf_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: 100
+patience: 10
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - si_snr
+    - max
+-   - 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
+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: 8
+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
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+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
+optim: adam
+optim_conf:
+    lr: 0.0001
+    eps: 1.0e-08
+    weight_decay: 1.0e-07
+scheduler: reducelronplateau
+scheduler_conf:
+    mode: min
+    factor: 0.7
+    patience: 1
+init: xavier_uniform
+model_conf:
+    stft_consistency: false
+    loss_type: mask_mse
+    mask_type: PSM
+    ref_channel: 0
+criterions:
+-   name: mse
+    conf:
+        compute_on_mask: false
+        mask_type: PSM
+    wrapper: pit
+    wrapper_conf:
+        weight: 1.0
+use_preprocessor: false
+encoder: stft
+encoder_conf:
+    n_fft: 256
+    hop_length: 64
+separator: dan
+separator_conf:
+    rnn_type: blstm
+    num_spk: 2
+    nonlinear: tanh
+    layer: 4
+    unit: 600
+    dropout: 0.1
+    emb_D: 20
+decoder: stft
+decoder_conf:
+    n_fft: 256
+    hop_length: 64
+required:
+- output_dir
+version: 0.10.7a1
+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}
+}
+
+
+```
+
+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}
+}
+```

exp/enh_train_enh_dan_tf_raw/46epoch.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c52aa9129aac7548acfefcb72606485c301dd65c0feab44874602b42d0d151b1
+size 126920721

exp/enh_train_enh_dan_tf_raw/RESULTS.md

@@ -0,0 +1,20 @@
+<!-- Generated by ./scripts/utils/show_enh_score.sh -->
+# RESULTS
+## Environments
+- date: `Thu Mar  3 14:33:32 CST 2022`
+- python version: `3.8.10 (default, May 19 2021, 18:05:58)  [GCC 7.3.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.5.1+cu101`
+- Git hash: `ec1acec03d109f06d829b80862e0388f7234d0d1`
+  - Commit date: `Fri Feb 25 14:12:45 2022 +0800`
+
+
+## ..
+
+config: conf/tuning/train_enh_dan_tf.yaml
+
+|dataset|PESQ|STOI|SAR|SDR|SIR|SI_SNR|
+|---|---|---|---|---|---|---|
+|enhanced_cv_min_8k|2.68|0.88|12.28|11.01|18.03|10.48|
+|enhanced_tt_min_8k|2.68|0.89|12.10|10.84|17.98|10.30|
+

exp/enh_train_enh_dan_tf_raw/config.yaml

@@ -0,0 +1,161 @@
+config: conf/tuning/train_enh_dan_tf.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: chunk
+output_dir: exp/enh_train_enh_dan_tf_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: 100
+patience: 10
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - si_snr
+    - max
+-   - 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
+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: 8
+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
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+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
+optim: adam
+optim_conf:
+    lr: 0.0001
+    eps: 1.0e-08
+    weight_decay: 1.0e-07
+scheduler: reducelronplateau
+scheduler_conf:
+    mode: min
+    factor: 0.7
+    patience: 1
+init: xavier_uniform
+model_conf:
+    stft_consistency: false
+    loss_type: mask_mse
+    mask_type: PSM
+    ref_channel: 0
+criterions:
+-   name: mse
+    conf:
+        compute_on_mask: false
+        mask_type: PSM
+    wrapper: pit
+    wrapper_conf:
+        weight: 1.0
+use_preprocessor: false
+encoder: stft
+encoder_conf:
+    n_fft: 256
+    hop_length: 64
+separator: dan
+separator_conf:
+    rnn_type: blstm
+    num_spk: 2
+    nonlinear: tanh
+    layer: 4
+    unit: 600
+    dropout: 0.1
+    emb_D: 20
+decoder: stft
+decoder_conf:
+    n_fft: 256
+    hop_length: 64
+required:
+- output_dir
+version: 0.10.7a1
+distributed: false

meta.yaml

@@ -0,0 +1,8 @@
+espnet: 0.10.7a1
+files:
+  model_file: exp/enh_train_enh_dan_tf_raw/46epoch.pth
+python: "3.8.10 (default, May 19 2021, 18:05:58) \n[GCC 7.3.0]"
+timestamp: 1646378035.353719
+torch: 1.5.1+cu101
+yaml_files:
+  train_config: exp/enh_train_enh_dan_tf_raw/config.yaml