Asteroid model JorisCos/DPTNet_Libri1Mix_enhsignle_16k

Description:

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:

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: 16
  n_filters: 64
  stride: 8
masknet:
  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
optim:
  lr: 0.001
  optimizer: adam
  weight_decay: 1.0e-05
scheduler:
  d_model: 64
  steps_per_epoch: 10000
training:
  batch_size: 4
  early_stop: true
  epochs: 200
  gradient_clipping: 5
  half_lr: true
  num_workers: 4

Results:

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

Downloads last month
10
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using JorisCos/DPTNet_Libri1Mix_enhsingle_16k 1