Audio Source Separation on Slakh2100 (test)
20.09SDR BassProjDiff
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ProjDiff2024.06 | 20.09 | — | — | — | — | — | — | 22.91 | 17.29 | 16.62 | 19.23 | — | — | — | — | — | |
| ISDM-Diractype=Dirac2024.06 | 19.36 | — | — | — | — | — | — | 20.9 | 14.7 | 14.13 | 17.27 | — | — | — | — | — | |
| RED-diff2024.06 | 17.96 | — | — | — | — | — | — | 21.6 | 15.99 | 15.33 | 17.72 | — | — | — | — | — | |
| ProjDiffRepetition steps (N)=52024.06 | 17.65 | — | — | — | — | — | — | 20.76 | 17.47 | 15.17 | 17.76 | — | — | — | — | — | |
| Demucs+Gibbsnotes=Previous SOTA2024.06 | 17.16 | — | — | — | — | — | — | 19.61 | 17.82 | 16.32 | 17.73 | — | — | — | — | — | |
| MSDM-DiracRepetition steps (N)=22024.06 | 17.12 | — | — | — | — | — | — | 18.68 | 15.38 | 14.73 | 16.48 | — | — | — | — | — | |
| U-Net + CDT=4, sigma_max=0.252024.12 | 16.13 | — | — | — | — | — | — | 17.38 | 6.89 | 7.39 | 11.95 | 22.5 | 22.42 | 28.05 | 23.81 | 24.2 | |
| RED-diff2024.06 | 16 | — | — | — | — | — | — | 19.98 | 16.15 | 13.67 | 16.45 | — | — | — | — | — | |
| U-Net + CDT=2, sigma_max=0.252024.12 | 15.78 | — | — | — | — | — | — | 17.19 | 6.71 | 7.23 | 11.73 | 22.02 | 22.24 | 27.48 | 23.37 | 23.78 | |
| U-Net + CDT=1, sigma_max=0.0122024.12 | 15.76 | — | — | — | — | — | — | 16.92 | 6.36 | 6.65 | 11.42 | 20.99 | 21.91 | 26.1 | 22.73 | 22.93 | |
| U-Net + Diff.T x R=2 x 2, sigma_max=0.012024.12 | 15.36 | — | — | — | — | — | — | 16.52 | 6.59 | 6.85 | 11.34 | 20.37 | 21.85 | 26.33 | 23.47 | 23 | |
| U-Net Det. x2x2=true2024.12 | 15.12 | — | — | — | — | — | — | 16.4 | 5.87 | 6.4 | 10.95 | 20.93 | 20.97 | 23.56 | 21.14 | 21.65 | |
| U-Net Det.2024.12 | 14.96 | — | — | — | — | — | — | 16.21 | 6.07 | 6.32 | 10.89 | 19.99 | 20.8 | 23.74 | 20.76 | 21.32 | |
| U-Net Det. + MSGMSG=true2024.12 | 14.59 | — | — | — | — | — | — | 15.7 | 6.13 | 6.27 | 10.67 | 19.52 | 20.55 | 23.06 | 20.2 | 20.83 | |
| ISDM-Gaussiantype=Gaussian2024.06 | 14.27 | — | — | — | — | — | — | 19.1 | 12.74 | 12.2 | 14.58 | — | — | — | — | — | |
| MSDM-GaussianRepetition steps (N)=22024.06 | 13.93 | — | — | — | — | — | — | 17.92 | 14.19 | 12.11 | 14.54 | — | — | — | — | — | |
| Demucslearning_paradigm=supervised2021.10 | — | 5.42 | 5.36 | 5.8 | 5.36 | 6.42 | 7.68 | — | — | — | — | — | — | — | — | — | |
| Demucss=02024.12 | — | — | — | — | — | — | — | — | — | — | — | 15.77 | 19.44 | 15.3 | 13.92 | 16.11 | |
| Demucs + Gibbss=0, Gibbs steps=5122024.12 | — | — | — | — | — | — | — | — | — | — | — | 17.16 | 19.61 | 17.82 | 16.32 | 17.73 | |
| FT2Dlearning_paradigm=unsupervised2021.10 | — | 0.59 | 1.31 | 2.63 | -0.15 | 0.65 | -1.02 | — | — | — | — | — | — | — | — | — | |
| HPSSlearning_paradigm=unsupervised2021.10 | — | -0.56 | -0.33 | 0.31 | -2.72 | 0.15 | -0.38 | — | — | — | — | — | — | — | — | — | |
| ICAlearning_paradigm=unsupervised2021.10 | — | -0.99 | -1.53 | -0.53 | -3.23 | -0.73 | -2.79 | — | — | — | — | — | — | — | — | — | |
| ISDM (Dirac)2024.12 | — | — | — | — | — | — | — | — | — | — | — | 19.36 | 20.9 | 14.7 | 14.13 | 17.27 | |
| LQ-VAEselection_criterion=best empirical selection2021.10 | — | 5.83 | 7.42 | 8.33 | 3.8 | 3.75 | 8.65 | — | — | — | — | — | — | — | — | — | |
| LQ-VAEselection_criterion=prior-based rejection sampling, rejection_parameter_alpha=02021.10 | — | 4.08 | 5.31 | 6.93 | 2.48 | 1.95 | 6.35 | — | — | — | — | — | — | — | — | — | |
| MSDM (Dirac)2024.12 | — | — | — | — | — | — | — | — | — | — | — | 17.12 | 18.68 | 15.38 | 14.73 | 16.48 | |
| REPETlearning_paradigm=unsupervised2021.10 | — | 0.53 | 1.54 | 2.91 | 0.11 | 0.4 | -1.09 | — | — | — | — | — | — | — | — | — | |
| rPCAlearning_paradigm=unsupervised2021.10 | — | 0.6 | 1.05 | 2.27 | -0.42 | 0.52 | -1.12 | — | — | — | — | — | — | — | — | — | |
| TasNetlearning_paradigm=supervised2021.10 | — | 5.51 | 5.43 | 5.87 | 5.47 | 7.8 | 8.46 | — | — | — | — | — | — | — | — | — |