readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - Libri1Mix
  - enh_single
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `JorisCos/ConvTasNet_Libri1Mix_enhsignle_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 `enh_single` task of the Libri1Mix  dataset.
  
  Training config:
  
  ```yml
  data:
    n_src: 1
    sample_rate: 16000
    segment: 3
    task: enh_single
    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: 1
    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 Libri1Mix min test set :
  ```yml
  si_sdr: 14.743051006476085
  si_sdr_imp: 11.293269700616385
  sdr: 15.300522933671061
  sdr_imp: 11.797860134458015
  sir: Infinity
  sir_imp: NaN
  sar: 15.300522933671061
  sar_imp: 11.797860134458015
  stoi: 0.9310514162434267
  stoi_imp: 0.13513159270288563
  ```
  
  
  License notice:
  
  This work "ConvTasNet_Libri1Mix_enhsignle_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_Libri1Mix_enhsignle_16k" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino