readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - Libri2Mix
  - sep_noisy
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepnoisy_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_noisy` task of the Libri2Mix dataset.
  
  Training config:
  
  ```yml
  data:
      n_src: 2
      sample_rate: 16000
      segment: 3
      task: sep_noisy
      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: 2
      skip_chan: 128
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 0.0
  training:
      batch_size: 6
      early_stop: true
      epochs: 200
      half_lr: true
      num_workers: 4
  ```
    
  
  Results:
  
  
  On Libri2Mix min test set :
  ```yml
  si_sdr: 10.617130949793383
  si_sdr_imp: 12.551811412989263
  sdr: 11.231867464482065
  sdr_imp: 13.059765009747343
  sir: 24.461138352988346
  sir_imp: 24.371856452307703
  sar: 11.5649982725426
  sar_imp: 4.662525705768228
  stoi: 0.8701085138712695
  stoi_imp: 0.2245418019822898
  
  ```
  
  
  License notice:
  
  This work "ConvTasNet_Libri2Mix_sepnoisy_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/); of The WSJ0 Hipster Ambient Mixtures 
  dataset by [Whisper.ai](http://wham.whisper.ai/), used under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (Research only). 
  "ConvTasNet_Libri2Mix_sepnoisy_16k" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino