metadata
tags:
- asteroid
- audio
- ConvTasNet
- audio-to-audio
datasets:
- LibriMix
- sep_noisy
license: cc-by-sa-4.0
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.