Cosentino/ConvTasNet_LibriMix_sep_noisy

Description:

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

Training config:

• data:
  • n_src: 2
  • sample_rate: 8000
  • segment: 3
  • task: sep_noisy
  • train_dir: data/wav8k/min/train-360
  • valid_dir: data/wav8k/min/dev
• filterbank:
  • kernel_size: 16
  • n_filters: 512
  • stride: 8
• masknet:
  • bn_chan: 128
  • hid_chan: 512
  • mask_act: relu
  • n_blocks: 8
  • n_repeats: 3
  • skip_chan: 128
• optim:
  • lr: 0.001
  • optimizer: adam
  • weight_decay: 0.0
• positional arguments:
• training:
  • batch_size: 24
  • early_stop: True
  • epochs: 200
  • half_lr: True
  • num_workers: 4

Results:

• si_sdr: 9.944424856077259
• si_sdr_imp: 11.939395359731192
• sdr: 10.701526190782072
• sdr_imp: 12.481757547845662
• sir: 22.633644975545575
• sir_imp: 22.45666740833025
• sar: 11.131644100944868
• sar_imp: 4.248489589311784
• stoi: 0.852048619949357
• stoi_imp: 0.2071994899565506

License notice:

This work "ConvTasNet_Librisep_noisyMix_sepnoisy" 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_Librisep_noisyMix_sepnoisy" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino.