readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - Libri3Mix
  - sep_clean
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepclean_16k`
  
  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 Libri3Mix dataset.
  
  Training config:
  ```yaml
  data:
      n_src: 3
      sample_rate: 16000
      segment: 3
      task: sep_clean
      train_dir: data/wav16k/min/train-360
      valid_dir: data/wav16k/min/dev
  filterbank:
      kernel_size: 32
      n_filters: 512
      stride: 16
  masknet:
      bn_chan: 128
      hid_chan: 512
      mask_act: relu
      n_blocks: 8
      n_repeats: 3
      n_src: 3
      skip_chan: 128
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 0.0
  training:
      batch_size: 8
      early_stop: true
      epochs: 200
      half_lr: true
      num_workers: 4
  ```
  
  
  Results :
  
  On Libri3Mix min test set :
  ```yaml
  si_sdr: 8.932601610824145
  si_sdr_imp: 12.299341066588594
  sdr: 9.557260814240447
  sdr_imp: 12.76957128385349
  sir: 17.387646884037455
  sir_imp: 20.599955591768484
  sar: 10.686885056960504
  sar_imp: -55.8894643263213
  stoi: 0.8481258332025354
  stoi_imp: 0.25528367853750356
  ```
  
  License notice:
  
  This work "ConvTasNet_Libri3Mix_sepclean_16k" 
  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_Libri3Mix_sepclean_16k" 
  is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Cosentino Joris.