readme: ---
  tags:
  - espnet
  - audio
  - audio-source-separation
  - audio-to-audio
  language: en
  datasets:
  - wsj0_2mix
  license: cc-by-4.0
  inference: false
  ---
  
  # ESPnet2 ENH pretrained model
  
  ## `Chenda Li/wsj0_2mix_enh_train_enh_conv_tasnet_raw_valid.si_snr.ave, fs=8k, lang=en`
  
  ♻️ Imported from <https://zenodo.org/record/4498562#.YOAOApozZH4>.
  
  This model was trained by Chenda Li using wsj0_2mix recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Python API
  
  ```text
  See https://github.com/espnet/espnet_model_zoo
  ```
  
  ### Evaluate in the recipe
  
  ```python
  # coming soon
  ```
  
  ### Results
  
  ```bash
  # RESULTS
  ## Environments
  - date: `Thu Feb  4 01:16:18 CST 2021`
  - python version: `3.7.6 (default, Jan  8 2020, 19:59:22)  [GCC 7.3.0]`
  - espnet version: `espnet 0.9.7`
  - pytorch version: `pytorch 1.5.0`
  - Git hash: `a3334220b0352931677946d178fade3313cf82bb`
    - Commit date: `Fri Jan 29 23:35:47 2021 +0800`
  
  
  ## enh_train_enh_conv_tasnet_raw
  
  config: ./conf/tuning/train_enh_conv_tasnet.yaml
  
  |dataset|STOI|SAR|SDR|SIR|
  |---|---|---|---|---|
  |enhanced_cv_min_8k|0.949205|17.3785|16.8028|26.9785|
  |enhanced_tt_min_8k|0.95349|16.6221|15.9494|25.9032|
  ```
  
  ### Training config
  
  See full config in [`config.yaml`](./exp/enh_train_enh_conv_tasnet_raw/config.yaml)
  
  ```yaml
  config: ./conf/tuning/train_enh_conv_tasnet.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: chunk
  output_dir: exp/enh_train_enh_conv_tasnet_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
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  ```
  