readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - wham
  - sep_clean
  license: cc-by-sa-4.0
  widget:
  - example_title: Librispeech sample 1
    src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
  ---
  
  ## Asteroid model `mpariente/ConvTasNet_WHAM_sepclean`
  Imported from [Zenodo](https://zenodo.org/record/3862942)
  
  ### Description:
  This model was trained by Manuel Pariente 
  using the wham/ConvTasNet 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:
      n_src: 2
      mode: min
      nondefault_nsrc: None
      sample_rate: 8000
      segment: 3
      task: sep_clean
      train_dir: data/wav8k/min/tr/
      valid_dir: data/wav8k/min/cv/
  filterbank:
      kernel_size: 16
      n_filters: 512
      stride: 8
  main_args:
      exp_dir: exp/wham
      gpus: -1
      help: None
  masknet:
      bn_chan: 128
      hid_chan: 512
      mask_act: relu
      n_blocks: 8
      n_repeats: 3
      n_src: 2
      skip_chan: 128
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 0.0
  positional arguments:
  training:
      batch_size: 24
      early_stop: True
      epochs: 200
      half_lr: True
      num_workers: 4
  ```
  
  ### Results:
  ```yaml
  si_sdr: 16.21326632846293
  si_sdr_imp: 16.21441705664987
  sdr: 16.615180021738933
  sdr_imp: 16.464137807433435
  sir: 26.860503975131923
  sir_imp: 26.709461760826414
  sar: 17.18312813480803
  sar_imp: -131.99332048277296
  stoi: 0.9619940905157323
  stoi_imp: 0.2239480672473015
  ```
  
  ### License notice:
  This work "ConvTasNet_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). 
  "ConvTasNet_WHAM!_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
  by Manuel Pariente.