tags: | |
- asteroid | |
- audio | |
- ConvTasNet | |
- audio-to-audio | |
datasets: | |
- DAMP-VSEP | |
license: cc-by-sa-4.0 | |
## Asteroid model `groadabike/ConvTasNet_DAMP-VSEP_enhboth` | |
Imported from [Zenodo](https://zenodo.org/record/3994193) | |
### Description: | |
This model was trained by Gerardo Roa Dabike using Asteroid. It was trained on the enh_both task of the DAMP-VSEP dataset. | |
### Training config: | |
```yaml | |
data: | |
channels: 1 | |
n_src: 2 | |
root_path: data | |
sample_rate: 16000 | |
samples_per_track: 10 | |
segment: 3.0 | |
task: enh_both | |
filterbank: | |
kernel_size: 20 | |
n_filters: 256 | |
stride: 10 | |
main_args: | |
exp_dir: exp/train_convtasnet | |
help: None | |
masknet: | |
bn_chan: 256 | |
conv_kernel_size: 3 | |
hid_chan: 512 | |
mask_act: relu | |
n_blocks: 8 | |
n_repeats: 4 | |
n_src: 2 | |
norm_type: gLN | |
skip_chan: 256 | |
optim: | |
lr: 0.0003 | |
optimizer: adam | |
weight_decay: 0.0 | |
positional arguments: | |
training: | |
batch_size: 12 | |
early_stop: True | |
epochs: 50 | |
half_lr: True | |
num_workers: 12 | |
``` | |
### Results: | |
```yaml | |
si_sdr: 14.018196157142519 | |
si_sdr_imp: 14.017103133809577 | |
sdr: 14.498517291333885 | |
sdr_imp: 14.463389151567865 | |
sir: 24.149634529133372 | |
sir_imp: 24.11450638936735 | |
sar: 15.338597389045935 | |
sar_imp: -137.30634122401517 | |
stoi: 0.7639416744417206 | |
stoi_imp: 0.1843383526963759 | |
``` | |
### License notice: | |
This work "ConvTasNet_DAMP-VSEP_enhboth" is a derivative of DAMP-VSEP: Smule Digital Archive of Mobile Performances - Vocal Separation (Version 1.0.1) by Smule, Inc, used under Smule's Research Data License Agreement (Research only). "ConvTasNet_DAMP-VSEP_enhboth" is licensed under Attribution-ShareAlike 3.0 Unported by Gerardo Roa Dabike. | |