metadata
tags:
- asteroid
- audio
- ConvTasNet
datasets:
- Libri3Mix
- sep_noisy
license: CC BY-NC 4.0
inference: false
Asteroid model JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k
Description:
This model was trained by Joris Cosentino using the librimix 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
n_src: 3
skip_chan: 128
optim:
lr: 0.001
optimizer: adam
weight_decay: 0.0
training:
batch_size: 24
early_stop: true
epochs: 200
half_lr: true
num_workers: 4
Results:
On Libri3Mix min test set :
'si_sdr': 5.978836560066222,
'si_sdr_imp': 10.388889689413096,
'sdr': 6.8651365291740225,
'sdr_imp': 10.928018056925016,
'sir': 14.997089638783114,
'sir_imp': 18.08248357801549,
'sar': 8.127504792061933,
'sar_imp': -0.7869320540959925,
'stoi': 0.7669414686111115,
'stoi_imp': 0.20416563213078837
License notice:
This work "ConvTasNet_Libri3Mix_sepnoisy_8k" 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_Libri3Mix_sepnoisy_8k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino