readme: ---
  tags:
  - asteroid
  - audio
  - VADNet
  - VAD
  - Voice Activity Detection
  datasets:
  - LibriVAD
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `JorisCos/VAD_Net`
  
  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:
    segment: 3
    train_dir: /home/jcosentino/VAD_dataset/metadata/sets/train.json
    valid_dir: /home/jcosentino/VAD_dataset/metadata/sets/dev.json
  filterbank:
    kernel_size: 16
    n_filters: 512
    stride: 8
  main_args:
    exp_dir: exp/full_not_causal_f1/
    help: null
  masknet:
    bn_chan: 128
    causal: false
    hid_chan: 512
    mask_act: relu
    n_blocks: 3
    n_repeats: 5
    skip_chan: 128
  optim:
    lr: 0.001
    optimizer: adam
    weight_decay: 0.0
  positional arguments: {}
  training:
    batch_size: 8
    early_stop: true
    epochs: 200
    half_lr: true
    num_workers: 4
  ```
    
  
  Results:
  
  On LibriVAD min test set :
  ```yml
  accuracy: 0.8196149023502931,
  precision: 0.8305009048356607,
  recall: 0.8869202491310206,
  f1_score: 0.8426184545700124
  ```
  
  
  License notice:
  
  This work "VAD_Net" 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 [DNS challenge](https://github.com/microsoft/DNS-Challenge) noises, [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/).
  "VAD_Net" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino