readme: ---
  tags:
  - asteroid
  - audio
  - DPRNNTasNet
  - audio-to-audio
  datasets:
  - wham
  - sep_clean
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `mpariente/DPRNNTasNet-ks2_WHAM_sepclean`
  Imported from [Zenodo](https://zenodo.org/record/3862942)
  
  ### Description:
  This model was trained by Manuel Pariente 
  using the wham/DPRNN recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
  It was trained on the `sep_clean` task of the WHAM! dataset.
  
  ### Training config:
  ```yaml
  data:
      mode: min
      nondefault_nsrc: None
      sample_rate: 8000
      segment: 2.0
      task: sep_clean
      train_dir: data/wav8k/min/tr
      valid_dir: data/wav8k/min/cv
  filterbank:
      kernel_size: 2
      n_filters: 64
      stride: 1
  main_args:
      exp_dir: exp/train_dprnn_new/
      gpus: -1
      help: None
  masknet:
      bidirectional: True
      bn_chan: 128
      chunk_size: 250
      dropout: 0
      hid_size: 128
      hop_size: 125
      in_chan: 64
      mask_act: sigmoid
      n_repeats: 6
      n_src: 2
      out_chan: 64
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 1e-05
  positional arguments:
  training:
      batch_size: 3
      early_stop: True
      epochs: 200
      gradient_clipping: 5
      half_lr: True
      num_workers: 8
  ```
  
  ### Results:
  ```yaml
  si_sdr: 19.316743490695334
  si_sdr_imp: 19.317895273889842
  sdr: 19.68085347190952
  sdr_imp: 19.5298092932871
  sir: 30.362213998701232
  sir_imp: 30.21116982007881
  sar: 20.15553251343315
  sar_imp: -129.02091762351188
  stoi: 0.97772664309074
  stoi_imp: 0.23968091518217424
  ```
  
  ### License notice:
  This work "DPRNNTasNet-ks2_WHAM_sepclean" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A)
  by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for 
  Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only). 
  "DPRNNTasNet-ks2_WHAM_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
  by Manuel Pariente.
  