metadata
tags:
- asteroid
- audio
- ConvTasNet
datasets:
- Libri2Mix
- sep_noisy
license: CC BY-NC 4.0
inference: false
Asteroid model JorisCos/ConvTasNet_Libri2Mix_sepnoisy_16k
Description:
This model was trained by Joris Cosentino using the librimix recipe in Asteroid.
It was trained on the sep_noisy task of the Libri2Mix dataset.
Training config:
data:
n_src: 2
sample_rate: 16000
segment: 3
task: sep_noisy
train_dir: data/wav16k/min/train-360
valid_dir: data/wav16k/min/dev
filterbank:
kernel_size: 32
n_filters: 512
stride: 16
masknet:
bn_chan: 128
hid_chan: 512
mask_act: relu
n_blocks: 8
n_repeats: 3
n_src: 2
skip_chan: 128
optim:
lr: 0.001
optimizer: adam
weight_decay: 0.0
training:
batch_size: 6
early_stop: true
epochs: 200
half_lr: true
num_workers: 4
Results:
On Libri2Mix min test set :
'si_sdr': 10.617130949793383,
'si_sdr_imp': 12.551811412989263,
'sdr': 11.231867464482065,
'sdr_imp': 13.059765009747343,
'sir': 24.461138352988346,
'sir_imp': 24.371856452307703,
'sar': 11.5649982725426,
'sar_imp': 4.662525705768228,
'stoi': 0.8701085138712695,
'stoi_imp': 0.2245418019822898
License notice:
This work "ConvTasNet_Libri2Mix_sepnoisy_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). "ConvTasNet_Libri2Mix_sepnoisy_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino