mpariente/ConvTasNet_Libri3Mix_sepnoisy

Asteroid model

Imported from this Zenodo model page.

Description:

This model was trained by Takhir Mirzaev using the Librimix/ConvTasNet recipe in Asteroid. It was trained on the sep_noisy task of the Libri3Mix dataset.

Training config:

data:
    n_src: 3
    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: 4
    early_stop: True
    epochs: 200
    half_lr: True
    num_workers: 4

Results:

si_sdr: 6.824750632456865
si_sdr_imp: 11.234803761803752
sdr: 7.715799858488098
sdr_imp: 11.778681386239114
sir: 16.442141130818637
sir_imp: 19.527535070051055
sar: 8.757864265661263
sar_imp: -0.15657258049670303
stoi: 0.7854554136619554
stoi_imp: 0.22267957718163015 

License notice:

This work "ConvTasNet_Libri3Mix_sepnoisy" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0. "ConvTasNet_Libri3Mix_sepnoisy" is licensed under Attribution-ShareAlike 3.0 Unported by Manuel Pariente.