ConvTasNet_Libri1Mix_enhsingle

mhu-coder/ConvTasNet_Libri1Mix_enhsingle

ConvTasNet_Libri1Mix_enhsingle is a audio-to-audio model from mhu-coder. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for asteroid. The card lists the license as cc-by-sa-4.0.

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At a glance

Task: Audio-to-Audio
Library: asteroid
License: cc-by-sa-4.0
Access: Public
Created: Mar 2, 2022
Updated: Sep 23, 2021
SHA: a7275d94

Datasets

Model card

From the Hugging Face model README

Asteroid model `mhu-coder/ConvTasNet_Libri1Mix_enhsingle`

Imported from Zenodo

Description:

This model was trained by Mathieu Hu using the librimix/ConvTasNet 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-100
    valid_dir: data/wav16k/min/dev
filterbank:
    kernel_size: 16
    n_filters: 512
    stride: 8
main_args:
    exp_dir: exp/train_convtasnet_f34664b9
    help: None
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
positional arguments:
training:
    batch_size: 2
    early_stop: True
    epochs: 200
    half_lr: True
    num_workers: 4

Results:

si_sdr: 13.938355526049932
si_sdr_imp: 10.488574220190232
sdr: 14.567380104207393
sdr_imp: 11.064717304994337
sir: inf
sir_imp: nan
sar: 14.567380104207393
sar_imp: 11.064717304994337
stoi: 0.9201010933251715
stoi_imp: 0.1241812697846321

License notice:

This work "ConvTasNet_Libri1Mx_enhsingle" is a derivative of CSR-I (WSJ0) Complete by LDC, used under LDC User Agreement for Non-Members (Research only). "ConvTasNet_Libri1Mix_enhsingle" is licensed under Attribution-ShareAlike 3.0 Unported by Mathieu Hu.

Task: Audio-to-Audio
Library: asteroid
License: cc-by-sa-4.0
Created: Mar 2, 2022
Updated: Sep 23, 2021