Table 9 The influence of different similarity measurements on the recognition performance
From: Anchor voiceprint recognition in live streaming via RawNet-SA and gated recurrent unit
Models | Similarity | VoxCeleb-E | VoxCeleb-H | CN-Celeb | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
EER | DCF08 | DCF10 | EER | DCF08 | DCF10 | EER | DCF08 | DCF10 | ||
RawNet2 | Cosine | 2.57% | 0.14 | 0.52 | 4.89% | 0.24 | 0.64 | 24.27% | 0.78 | 0.97 |
PLDA | 3.78% | 0.19 | 0.58 | 6.43% | 0.29 | 0.70 | 27.76% | 0.82 | 1.00 | |
B-vector | 3.39% | 0.19 | 0.69 | 5.99% | 0.32 | 0.87 | 26.16% | 0.82 | 1.00 | |
RawNet-origin-SA* | Cosine | 2.37% | 0.13 | 0.50 | 4.54% | 0.22 | 0.63 | 23.49% | 0.78 | 0.94 |
PLDA | 3.51% | 0.17 | 0.59 | 6.04% | 0.28 | 0.72 | 27.46% | 0.81 | 0.97 | |
B-vector | 3.17% | 0.18 | 0.69 | 5.60% | 0.29 | 0.84 | 26.24% | 0.81 | 1.00 | |
RawNet-SA | Cosine | 2.54% | 0.14 | 0.47 | 4.52% | 0.22 | 0.65 | 22.24% | 0.76 | 0.94 |
PLDA | 3.94% | 0.19 | 0.59 | 6.48% | 0.29 | 0.76 | 24.67% | 0.80 | 0.96 | |
B-vector | 3.54% | 0.21 | 0.72 | 6.46% | 0.37 | 0.91 | 22.84% | 0.84 | 1.00 | |