tags: | |
- asteroid | |
- audio | |
- ConvTasNet | |
- audio-to-audio | |
datasets: | |
- Libri2Mix | |
- sep_clean | |
license: cc-by-sa-4.0 | |
## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepclean_8k` | |
Imported from [Zenodo](https://zenodo.org/record/3873572#.X9M69cLjJH4) | |
Description: | |
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid). | |
It was trained on the `sep_clean` task of the Libri2Mix dataset. | |
Training config: | |
```yaml | |
data: | |
n_src: 2 | |
sample_rate: 8000 | |
segment: 3 | |
task: sep_clean | |
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 | |
training: | |
batch_size: 24 | |
early_stop: True | |
epochs: 200 | |
half_lr: True | |
num_workers: 2 | |
``` | |
Results : | |
On Libri2Mix min test set : | |
```yaml | |
si_sdr: 14.764543634468069 | |
si_sdr_imp: 14.764029375607246 | |
sdr: 15.29337970745095 | |
sdr_imp: 15.114146605113111 | |
sir: 24.092904661115366 | |
sir_imp: 23.913669683141528 | |
sar: 16.06055906916849 | |
sar_imp: -51.980784441287454 | |
stoi: 0.9311142440593033 | |
stoi_imp: 0.21817376142710482 | |
``` | |
License notice: | |
This work "ConvTasNet_Libri2Mix_sepclean_8k" | |
is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by Vassil Panayotov, | |
used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). "ConvTasNet_Libri2Mix_sepclean_8k" | |
is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Cosentino Joris. |