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.
- Downloads last month
- 18
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.