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Asteroid model JorisCos/DPTNet_Libri1Mix_enhsignle_16k


This model was trained by Joris Cosentino using the librimix recipe in Asteroid. It was trained on the enh_single task of the Libri1Mix dataset.

Training config:

  n_src: 1
  sample_rate: 16000
  segment: 3
  task: enh_single
  train_dir: data/wav16k/min/train-360
  valid_dir: data/wav16k/min/dev
  kernel_size: 16
  n_filters: 64
  stride: 8
  bidirectional: true
  chunk_size: 100
  dropout: 0
  ff_activation: relu
  ff_hid: 256
  hop_size: 50
  in_chan: 64
  mask_act: sigmoid
  n_repeats: 2
  n_src: 1
  norm_type: gLN
  out_chan: 64
  lr: 0.001
  optimizer: adam
  weight_decay: 1.0e-05
  d_model: 64
  steps_per_epoch: 10000
  batch_size: 4
  early_stop: true
  epochs: 200
  gradient_clipping: 5
  half_lr: true
  num_workers: 4


On Libri1Mix min test set :

si_sdr: 14.829670037349064
si_sdr_imp: 11.379888731489366
sdr: 15.395712644737149
sdr_imp: 11.893049845524112
sir: Infinity
sir_imp: NaN
sar: 15.395712644737149
sar_imp: 11.893049845524112
stoi: 0.9301948391058859
stoi_imp: 0.13427501556534832

License notice:

This work "DPTNet_Libri1Mix_enhsignle_16k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). "DPTNet_Libri1Mix_enhsignle_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino

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