readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - Libri2Mix
  - sep_clean
  license: cc-by-sa-4.0
  ---
  ## Asteroid model `Awais/Audio_Source_Separation`
  Imported from [Zenodo](https://zenodo.org/record/3873572#.X9M69cLjJH4)
  
  Description:
  
  This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid). 
  It was trained on the `sep_clean` task of the Libri2Mix dataset.
  
  Training config:
  ```yaml
  data:
      n_src: 2
      sample_rate: 8000
      segment: 3
      task: sep_clean
      train_dir: data/wav8k/min/train-360
      valid_dir: data/wav8k/min/dev
  filterbank:
      kernel_size: 16
      n_filters: 512
      stride: 8
  masknet:
      bn_chan: 128
      hid_chan: 512
      mask_act: relu
      n_blocks: 8
      n_repeats: 3
      skip_chan: 128
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 0.0
  training:
      batch_size: 24
      early_stop: True
      epochs: 200
      half_lr: True
      num_workers: 2
  ```
  
  
  Results :
  
  On Libri2Mix min test set :
  ```yaml
  si_sdr: 14.764543634468069
  si_sdr_imp: 14.764029375607246
  sdr: 15.29337970745095
  sdr_imp: 15.114146605113111
  sir: 24.092904661115366
  sir_imp: 23.913669683141528
  sar: 16.06055906916849
  sar_imp: -51.980784441287454
  stoi: 0.9311142440593033
  stoi_imp: 0.21817376142710482
  ```
  
  License notice:
  
  This work "ConvTasNet_Libri2Mix_sepclean_8k" 
  is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by Vassil Panayotov,
  used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). "ConvTasNet_Libri2Mix_sepclean_8k" 
  is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Cosentino Joris.
  