- integrate the repo into astroid
- change config files to json
- fix hard coded scp files, and add separete dataset root in config
- separate output folder for each config
- implement debug mode in code, not from hardcoded separate dataset path
paper link: https://arxiv.org/abs/2011.12022
This is the repository for multi-decoder DPRNN, submitted to ICASSP 2021. It deals with source separation with variable number of speakers. It has 98.5% accuracy in speaker number of selection and similar SNR as models trained individually on fixed number of speakers, which is much higher than all previous SOTA methods.
We are still refactoring the codebase, and will provide another useful update soon. Demo can be found at: https://junzhejosephzhu.github.io/Multi-Decoder-DPRNN/
Results
| 2 | 3 | 4 | 5 |
|---|---|---|---|
| 2998 | 17 | 1 | 0 |
| 2 | 2977 | 27 | 0 |
| 0 | 6 | 2928 | 80 |
| 0 | 0 | 44 | 2920 |