readme: ---
  tags:
  - asteroid
  - audio
  - FasNet-TAC
  - audio-to-audio
  - multichannel
  - beamforming
  datasets:
  - TACDataset
  - sep_noisy
  license: cc-by-sa-4.0
  ---
  
  ## Asteroid model `Samuele Cornell/FasNetTAC_TACDataset_separatenoisy`
  Imported from [Zenodo](https://zenodo.org/record/4557489)
  
  ### Description:
  This model was trained by popcornell using the TAC/TAC recipe in Asteroid. It was trained on the separate_noisy task of the TACDataset dataset.
  
  ### Training config:
  ```yaml
  data:
      dev_json: ./data/validation.json
      sample_rate: 16000
      segment: None
      test_json: ./data/test.json
      train_json: ./data/train.json
  net:
      chunk_size: 50
      context_ms: 16
      enc_dim: 64
      feature_dim: 64
      hidden_dim: 128
      hop_size: 25
      n_layers: 4
      n_src: 2
      window_ms: 4
  optim:
      lr: 0.001
      weight_decay: 1e-06
  training:
      accumulate_batches: 1
      batch_size: 8
      early_stop: True
      epochs: 200
      gradient_clipping: 5
      half_lr: True
      num_workers: 8
      patience: 30
      save_top_k: 10
  ```
  
  ### Results:
  ```yaml
  si_sdr: 10.871864315894744
  si_sdr_imp: 11.322284052560262
  ```
  
  ### License notice:
  This work "FasNetTAC_TACDataset_separatenoisy" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0; of End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation by Yi Luo, Zhuo Chen, Nima Mesgarani, Takuya Yoshioka, used under CC BY 4.0. "FasNetTAC_TACDataset_separatenoisy" is licensed under Attribution-ShareAlike 3.0 Unported by popcornell.
  
  