Speech Enhancement on Ad-hoc microphone array 8-channel (test)
0.961STOIRefined SpatialNet
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Refined SpatialNetξ=0.4, α=0.52026.03 | 0.961 | 0.909 | 3.55 | 3.12 | 15.2 | 15.6 | 2.92 | 3.25 | |
| Refined SpatialNetξ=0.8, α=0.52026.03 | 0.961 | 0.91 | 3.54 | 3.1 | 15.2 | 15.1 | 2.91 | 3.23 | |
| Refined SpatialNetξ=1.0, α=0.52026.03 | 0.961 | 0.909 | 3.52 | 3.08 | 15.2 | 15.5 | 2.9 | 3.22 | |
| SpatialNetξ=-, α=-2026.03 | 0.959 | 0.904 | 3.49 | 3.01 | 14.7 | 16.8 | 2.88 | 3.18 | |
| Refined SpatialNetξ=0.6, α=0.52026.03 | 0.956 | 0.896 | 3.48 | 2.98 | 14.4 | 17.4 | 2.94 | 3.17 | |
| Refined SpatialNetξ=0.4, α=0.52026.03 | 0.955 | 0.894 | 3.48 | 2.98 | 14.3 | 17.8 | 2.95 | 3.18 | |
| Refined SpatialNetξ=0.2, α=0.52026.03 | 0.954 | 0.892 | 3.47 | 2.97 | 14.1 | 18.2 | 2.96 | 3.18 | |
| Refined SpatialNetξ=0.4, α=02026.03 | 0.954 | 0.894 | 3.41 | 2.88 | 14.4 | 17.1 | 2.9 | 3.16 | |
| SpatialNet2026.03 | 0.952 | 0.887 | 3.39 | 2.8 | 13.8 | 19.8 | 2.89 | 3.09 | |
| Refined SpatialNetξ=0.4, α=02026.03 | 0.947 | 0.879 | 3.32 | 2.74 | 13.5 | 20.4 | 2.93 | 3.1 | |
| Refined USES2ξ=1.02026.03 | 0.941 | 0.868 | 3.21 | 2.57 | 6.4 | 22 | 2.84 | 3.01 | |
| Refined USES2ξ=0.62026.03 | 0.94 | 0.867 | 3.25 | 2.62 | 6.4 | 24 | 2.86 | 3.08 | |
| Refined USES2ξ=0.82026.03 | 0.94 | 0.868 | 3.23 | 2.6 | 6.4 | 22.2 | 2.85 | 3.03 | |
| Refined USES2ξ=1.22026.03 | 0.94 | 0.866 | 3.17 | 2.53 | 6.3 | 22.7 | 2.81 | 2.96 | |
| Refined USES2ξ=0.8, α=0.52026.03 | 0.939 | 0.865 | 3.3 | 2.68 | 6.3 | 22.3 | 2.89 | 3.11 | |
| Refined USES2ξ=1.0, α=0.52026.03 | 0.939 | 0.866 | 3.29 | 2.67 | 6.3 | 22.5 | 2.88 | 3.09 | |
| Refined USES2ξ=0.42026.03 | 0.938 | 0.863 | 3.26 | 2.63 | 6.2 | 24.2 | 2.89 | 3.1 | |
| Refined USES2ξ=0.4, α=0.52026.03 | 0.938 | 0.862 | 3.3 | 2.67 | 6.3 | 23 | 2.91 | 3.12 | |
| USES22026.03 | 0.936 | 0.858 | 3.25 | 2.59 | 5.7 | 30.5 | 2.86 | 3 | |
| Refined USES2ξ=0.4, α=02026.03 | 0.934 | 0.854 | 3.21 | 2.54 | 6.4 | 24 | 2.89 | 3.09 | |
| Refined TADRNξ=0.82026.03 | 0.933 | 0.853 | 3.14 | 2.44 | 11.4 | 26.7 | 2.9 | 2.98 | |
| Refined TADRNξ=1.02026.03 | 0.933 | 0.853 | 3.13 | 2.44 | 11.5 | 26.1 | 2.88 | 2.94 | |
| Refined TADRNξ=0.62026.03 | 0.931 | 0.849 | 3.14 | 2.44 | 11.3 | 31.1 | 2.91 | 3.02 | |
| USES2ξ=-, α=-2026.03 | 0.931 | 0.849 | 3.21 | 2.51 | 5.8 | 26.6 | 2.86 | 2.97 | |
| Refined TADRNξ=1.22026.03 | 0.93 | 0.84 | 3.1 | 2.41 | 11.3 | 27.8 | 2.86 | 2.87 | |
| Refined TADRNξ=0.42026.03 | 0.928 | 0.844 | 3.12 | 2.43 | 11.1 | 32 | 2.91 | 3.02 | |
| Refined TADRNξ=0.4, α=02026.03 | 0.925 | 0.835 | 3.09 | 2.36 | 11 | 29 | 2.91 | 3.02 | |
| Refined TADRNξ=1.0, α=0.52026.03 | 0.925 | 0.837 | 3.12 | 2.41 | 10.9 | 27.3 | 2.89 | 2.89 | |
| Refined TADRNξ=0.8, α=0.52026.03 | 0.924 | 0.836 | 3.12 | 2.41 | 10.9 | 28.3 | 2.9 | 2.89 | |
| Refined TADRNξ=0.4, α=0.52026.03 | 0.922 | 0.83 | 3.1 | 2.38 | 10.7 | 29.3 | 2.9 | 2.9 | |
| TADRN2026.03 | 0.913 | 0.814 | 2.98 | 2.21 | 9.9 | 46.9 | 2.85 | 2.68 | |
| Refined USES2ξ=0.6, α=0.52026.03 | 0.909 | 0.808 | 3.07 | 2.33 | 4.7 | 30.4 | 2.85 | 2.88 | |
| TADRNξ=-, α=-2026.03 | 0.909 | 0.805 | 2.94 | 2.16 | 9.8 | 35.4 | 2.86 | 2.67 | |
| Refined USES2ξ=0.4, α=0.52026.03 | 0.908 | 0.805 | 3.06 | 2.32 | 4.7 | 31.1 | 2.86 | 2.89 | |
| Refined USES2ξ=0.4, α=02026.03 | 0.907 | 0.806 | 3 | 2.25 | 4.9 | 32.4 | 2.9 | 2.96 | |
| Refined USES2ξ=0.2, α=0.52026.03 | 0.905 | 0.8 | 3.05 | 2.3 | 4.7 | 32 | 2.86 | 2.88 | |
| Refined FASNET-TACξ=1.02026.03 | 0.896 | 0.781 | 2.83 | 2.03 | 8 | 41.6 | 2.71 | 2.49 | |
| Refined FASNET-TACξ=1.22026.03 | 0.896 | 0.78 | 2.81 | 2.01 | 8 | 41.4 | 2.69 | 2.42 | |
| Refined FASNET-TACξ=0.82026.03 | 0.895 | 0.782 | 2.86 | 2.05 | 8 | 39.6 | 2.73 | 2.56 | |
| Refined FASNET-TACξ=0.62026.03 | 0.894 | 0.781 | 2.87 | 2.05 | 8 | 44.4 | 2.75 | 2.61 | |
| USES22026.03 | 0.892 | 0.775 | 2.91 | 2.09 | 4.2 | 37.7 | 2.75 | 2.62 | |
| Refined FASNET-TACξ=0.42026.03 | 0.891 | 0.775 | 2.86 | 2.04 | 7.9 | 43.6 | 2.77 | 2.68 | |
| Refined FaSNet-TACξ=0.4, α=02026.03 | 0.885 | 0.763 | 2.82 | 1.98 | 7.6 | 39.4 | 2.75 | 2.66 | |
| Refined FaSNet-TACξ=1.0, α=0.52026.03 | 0.879 | 0.749 | 2.79 | 1.95 | 7.3 | 38.7 | 2.67 | 2.27 | |
| Refined FaSNet-TACξ=0.8, α=0.52026.03 | 0.878 | 0.748 | 2.79 | 1.94 | 7.2 | 39.7 | 2.69 | 2.28 | |
| Refined FaSNet-TACξ=0.4, α=0.52026.03 | 0.875 | 0.743 | 2.79 | 1.93 | 7.2 | 41 | 2.7 | 2.35 | |
| FASNET-TAC2026.03 | 0.856 | 0.708 | 2.61 | 1.74 | 6.2 | 58.4 | 2.69 | 1.91 | |
| FaSNet-TACξ=-, α=-2026.03 | 0.853 | 0.698 | 2.57 | 1.7 | 6.3 | 50.7 | 2.58 | 1.89 | |
| USES2+MCWF2026.03 | 0.849 | 0.66 | 2.19 | 1.33 | 3.8 | 53.5 | 1.66 | 1.89 | |
| TADRN+MCWF2026.03 | 0.845 | 0.655 | 2.17 | 1.32 | 6.8 | 47 | 1.66 | 1.88 | |
| FASNET-TAC+MCWF2026.03 | 0.83 | 0.632 | 2.16 | 1.32 | 5.2 | 53 | 1.64 | 1.83 | |
| Refined FaSNet-TACξ=0.4, α=02026.03 | 0.82 | 0.657 | 2.45 | 1.63 | 3.9 | 53.9 | 2.59 | 2.23 | |
| Refined FaSNet-TACξ=0.6, α=0.52026.03 | 0.812 | 0.637 | 2.4 | 1.59 | 3.5 | 53.7 | 2.43 | 1.79 | |
| Refined FaSNet-TACξ=0.4, α=0.52026.03 | 0.808 | 0.63 | 2.39 | 1.57 | 3.4 | 55.4 | 2.43 | 1.81 | |
| Refined FaSNet-TACξ=0.2, α=0.52026.03 | 0.801 | 0.618 | 2.39 | 1.57 | 3.4 | 58.5 | 2.44 | 1.8 | |
| FaSNet-TAC2026.03 | 0.78 | 0.577 | 2.15 | 1.4 | 2.6 | 69.1 | 2.29 | 1.35 | |
| Noisy2026.03 | 0.631 | 0.361 | 1.4 | 1.07 | -6.3 | 118 | 1.48 | 1.82 | |
| Noisyξ=-, α=-2026.03 | 0.622 | 0.347 | 1.38 | 1.07 | -6.7 | 78.9 | 1.47 | 1.85 | |
| Noisy2026.03 | 0.568 | 0.299 | 1.29 | 1.09 | -10.1 | 95.8 | 1.47 | 1.66 |