data:
  n_src: 1
  sample_rate: 16000
  segment: 3
  task: enh_single
  train_dir: data/wav16k/min/train-360
  valid_dir: data/wav16k/min/dev
filterbank:
  kernel_size: 32
  n_filters: 512
  stride: 16
masknet:
  bn_chan: 128
  hid_chan: 512
  mask_act: relu
  n_blocks: 8
  n_repeats: 3
  n_src: 1
  skip_chan: 128
optim:
  lr: 0.001
  optimizer: adam
  weight_decay: 0.0
training:
  batch_size: 6
  early_stop: true
  epochs: 200
  half_lr: true
  num_workers: 4

Results:

On Libri1Mix min test set :

yml

si_sdr: 14.743051006476085
si_sdr_imp: 11.293269700616385
sdr: 15.300522933671061
sdr_imp: 11.797860134458015
sir: Infinity
sir_imp: NaN
sar: 15.300522933671061
sar_imp: 11.797860134458015
stoi: 0.9310514162434267
stoi_imp: 0.13513159270288563

License notice:

This work "ConvTasNet_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). "ConvTasNet_Libri1Mix_enhsignle_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino

osanseviero/ConvTasNet_Libri1Mix_enhsingle_16k

Clone from Asteroid model JorisCos/ConvTasNet_Libri1Mix_enhsignle_16k

osanseviero/
ConvTasNet_Libri1Mix_enhsingle_16k

Clone from Asteroid model `JorisCos/ConvTasNet_Libri1Mix_enhsignle_16k`