readme: ---
  tags:
  - asteroid
  - audio
  - ConvTasNet
  - audio-to-audio
  datasets:
  - DAMP-VSEP
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `groadabike/ConvTasNet_DAMP-VSEP_enhboth`
  Imported from [Zenodo](https://zenodo.org/record/3994193)
  
  ### Description:
  This model was trained by Gerardo Roa Dabike using Asteroid. It was trained on the enh_both task of the DAMP-VSEP dataset.
  
  ### Training config:
  ```yaml
  data:
      channels: 1
      n_src: 2
      root_path: data
      sample_rate: 16000
      samples_per_track: 10
      segment: 3.0
      task: enh_both
  filterbank:
      kernel_size: 20
      n_filters: 256
      stride: 10
  main_args:
      exp_dir: exp/train_convtasnet
      help: None
  masknet:
      bn_chan: 256
      conv_kernel_size: 3
      hid_chan: 512
      mask_act: relu
      n_blocks: 8
      n_repeats: 4
      n_src: 2
      norm_type: gLN
      skip_chan: 256
  optim:
      lr: 0.0003
      optimizer: adam
      weight_decay: 0.0
  positional arguments:
  training:
     batch_size: 12
      early_stop: True
      epochs: 50
      half_lr: True
      num_workers: 12
  ```
  
  ### Results:
  ```yaml
  si_sdr: 14.018196157142519
  si_sdr_imp: 14.017103133809577
  sdr: 14.498517291333885
  sdr_imp: 14.463389151567865
  sir: 24.149634529133372
  sir_imp: 24.11450638936735
  sar: 15.338597389045935
  sar_imp: -137.30634122401517
  stoi: 0.7639416744417206
  stoi_imp: 0.1843383526963759
  ```
  
  ### License notice:
  This work "ConvTasNet_DAMP-VSEP_enhboth" is a derivative of DAMP-VSEP: Smule Digital Archive of Mobile Performances - Vocal Separation (Version 1.0.1) by Smule, Inc, used under Smule's Research Data License Agreement (Research only). "ConvTasNet_DAMP-VSEP_enhboth" is licensed under Attribution-ShareAlike 3.0 Unported by Gerardo Roa Dabike.
  