Table 4 The role of self-attention mechanisms on the recognition performance
From: Anchor voiceprint recognition in live streaming via RawNet-SA and gated recurrent unit
Models | VoxCeleb-E | VoxCeleb-H | CN-Celeb | ||||||
|---|---|---|---|---|---|---|---|---|---|
EER | DCF08 | DCF10 | EER | DCF08 | DCF10 | EER | DCF08 | DCF10 | |
RawNet2 | 2.57% | 0.14 | 0.52 | 4.89% | 0.24 | 0.64 | 24.27% | 0.78 | 0.97 |
RawNet2* | 2.43% | 0.13 | 0.50 | 4.60% | 0.23 | 0.64 | 24.23% | 0.78 | 0.96 |
RawNet2 w/out SA* | 2.44% | 0.14 | 0.48 | 4.69% | 0.23 | 0.64 | 23.55% | 0.77 | 0.94 |
RawNet-MHSA | 2.75% | 0.15 | 0.53 | 4.91% | 0.24 | 0.65 | 22.16% | 0.75 | 0.93 |
RawNet-all-SA | 3.69% | 0.20 | 0.61 | 6.61% | 0.32 | 0.73 | 22.51% | 0.77 | 0.96 |
RawNet-origin-SA* | 2.37% | 0.13 | 0.50 | 4.54% | 0.22 | 0.63 | 23.49% | 0.78 | 0.94 |
RawNet-SA | 2.54% | 0.14 | 0.47 | 4.52% | 0.22 | 0.65 | 22.24% | 0.76 | 0.94 |