readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - Libri3Mix
  - sep_noisy
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k`
  
  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 Libri3Mix  dataset.
  
  Training config:
  
  ```yml
  data:
    n_src: 3
    sample_rate: 8000
    segment: 3
    task: sep_noisy
    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
    n_src: 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: 4
  ```
    
  
  Results:
  
  On Libri3Mix min test set :
  ```yml
  si_sdr: 5.978836560066222
  si_sdr_imp: 10.388889689413096
  sdr: 6.8651365291740225
  sdr_imp: 10.928018056925016
  sir: 14.997089638783114
  sir_imp: 18.08248357801549
  sar: 8.127504792061933
  sar_imp: -0.7869320540959925
  stoi: 0.7669414686111115
  stoi_imp: 0.20416563213078837
  ```
  
  
  License notice:
  
  This work "ConvTasNet_Libri3Mix_sepnoisy_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/); 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_Libri3Mix_sepnoisy_8k" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino