readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - libri1mix
  - enh_single
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `mhu-coder/ConvTasNet_Libri1Mix_enhsingle`
  Imported from [Zenodo](https://zenodo.org/record/4301955#.X9cj98Jw0bY)
  
  ### Description:
  This model was trained by Mathieu Hu using the librimix/ConvTasNet recipe in
  [Asteroid](https://github.com/asteroid-team/asteroid).
  It was trained on the `enh_single` task of the Libri1Mix dataset. 
  
  ### Training config:
  ```yaml
  data:
      n_src: 1
      sample_rate: 16000
      segment: 3
      task: enh_single
      train_dir: data/wav16k/min/train-100
      valid_dir: data/wav16k/min/dev
  filterbank:
      kernel_size: 16
      n_filters: 512
      stride: 8
  main_args:
      exp_dir: exp/train_convtasnet_f34664b9
      help: None
  masknet:
      bn_chan: 128
      hid_chan: 512
      mask_act: relu
      n_blocks: 8
      n_repeats: 3
      n_src: 1
      skip_chan: 128
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 0.0
  positional arguments:
  training:
      batch_size: 2
      early_stop: True
      epochs: 200
      half_lr: True
      num_workers: 4
  ```
  
  ### Results:
  ```yaml
  si_sdr: 13.938355526049932
  si_sdr_imp: 10.488574220190232
  sdr: 14.567380104207393
  sdr_imp: 11.064717304994337
  sir: inf
  sir_imp: nan
  sar: 14.567380104207393
  sar_imp: 11.064717304994337
  stoi: 0.9201010933251715
  stoi_imp: 0.1241812697846321 
  ```
  
  ### License notice:
  This work "ConvTasNet_Libri1Mx_enhsingle" 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_Libri1Mix_enhsingle" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
  by Mathieu Hu.
  