readme: ---
  tags:
  - audacity
  inference: false
  ---
  This is an Audacity wrapper for the model, forked from the repository `JorisCos/ConvTasNet_Libri3Mix_sepnoisy_16k`, 
  This model was trained using the Asteroid library: https://github.com/asteroid-team/asteroid.
  
  The following info was copied directly from `JorisCos/ConvTasNet_Libri3Mix_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 Libri3Mix  dataset.
  Training config:
  ```yml
  data:
    n_src: 3
    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: 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 :
  ```yml
  si_sdr: 5.926151147554517
  si_sdr_imp: 10.282912158535625
  sdr: 6.700975236867358
  sdr_imp: 10.882972447337504
  sir: 15.364110064569388
  sir_imp: 18.574476587171688
  sar: 7.918866830474568
  sar_imp: -0.9638973409971135
  stoi: 0.7713777027310713
  stoi_imp: 0.2078696167973911
  ```
  License notice:
  This work "ConvTasNet_Libri3Mix_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/). 
  "ConvTasNet_Libri3Mix_sepnoisy_16k" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino
  