readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - LibriMix
  - sep_noisy
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model
  Imported from this Zenodo [model page](https://zenodo.org/record/4020529).
  
  ## Description:
  This model was trained by  Takhir Mirzaev using the Librimix/ConvTasNet recipe in Asteroid. 
  It was trained on the `sep_noisy` task of the Libri3Mix dataset.
   
  
  ## Training config:
  ```yaml
  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
      skip_chan: 128
  optim:
      lr: 0.001
      optimizer: adam
      weight_decay: 0.0
  positional arguments:
  training:
      batch_size: 4
      early_stop: True
      epochs: 200
      half_lr: True
      num_workers: 4
  ```
   
  
  ## Results:
  ```yaml
  si_sdr: 6.824750632456865
  si_sdr_imp: 11.234803761803752
  sdr: 7.715799858488098
  sdr_imp: 11.778681386239114
  sir: 16.442141130818637
  sir_imp: 19.527535070051055
  sar: 8.757864265661263
  sar_imp: -0.15657258049670303
  stoi: 0.7854554136619554
  stoi_imp: 0.22267957718163015 
  ```
   
  
  ## License notice:
  This work "ConvTasNet_Libri3Mix_sepnoisy" 
  is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by 
  [Vassil Panayotov](https://github.com/vdp),
  used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). 
  "ConvTasNet_Libri3Mix_sepnoisy" 
  is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
  by Manuel Pariente.