metadata
license: mit
This is a pre-trained version of Fast FullSubNet, trained on the Deep Noise Suppression Challenge dataset of 2020 (DNS-INTERSPEECH-2020).
Instructions
https://fullsubnet.readthedocs.io/en/latest/usage/getting_started.html
Code
https://github.com/Audio-WestlakeU/FullSubNet
Paper
Performance
| With Reverb | No Reverb | ||||||
|---|---|---|---|---|---|---|---|
| Method | WB-PESQ | NB-PESQ | SI-SDR | STOI | WB-PESQ | NB-PESQ | SI-SDR |
| Fast FullSubNet (118 Epochs) | 2.882 | 3.42 | 15.33 | 0.9233 | 2.694 | 3.222 | 16.34 |
| FullSubNet (58 Epochs) (just for comparison) | 2.987 | 3.496 | 15.756 | 0.926 | 2.889 | 3.385 | 17.635 |