From: AUC optimization for deep learning-based voice activity detection
Noise type | SNR | MCE | MMSE | MaxAUCsigm | MaxAUChinge |
---|---|---|---|---|---|
Babble | − 10 dB | 0.5163 | 0.5270 | 0.5428 | 0.5383 |
− 5 dB | 0.5636 | 0.5761 | 0.6010 | 0.5940 | |
0 dB | 0.6491 | 0.6567 | 0.6867 | 0.6787 | |
5 dB | 0.7466 | 0.7499 | 0.7716 | 0.7641 | |
10 dB | 0.8227 | 0.8241 | 0.8362 | 0.8283 | |
15 dB | 0.8703 | 0.8696 | 0.8765 | 0.8699 | |
20 dB | 0.8977 | 0.8974 | 0.9003 | 0.8978 | |
Factory | − 10 dB | 0.6024 | 0.6031 | 0.6066 | 0.6089 |
− 5 dB | 0.6864 | 0.6830 | 0.6898 | 0.6923 | |
0 dB | 0.7659 | 0.7610 | 0.7653 | 0.7685 | |
5 dB | 0.8243 | 0.8196 | 0.8204 | 0.8240 | |
10 dB | 0.8617 | 0.8580 | 0.8573 | 0.8599 | |
15 dB | 0.8862 | 0.8826 | 0.8811 | 0.8824 | |
20 dB | 0.9033 | 0.8995 | 0.8977 | 0.8984 | |
Volvo | − 10 dB | 0.8562 | 0.8432 | 0.8752 | 0.8702 |
− 5 dB | 0.8871 | 0.8780 | 0.8996 | 0.8961 | |
0 dB | 0.9062 | 0.9010 | 0.9137 | 0.9107 | |
5 dB | 0.9166 | 0.9136 | 0.9223 | 0.9182 | |
10 dB | 0.9220 | 0.9194 | 0.9261 | 0.9214 | |
15 dB | 0.9248 | 0.9227 | 0.9277 | 0.9229 | |
20 dB | 0.9264 | 0.9248 | 0.9287 | 0.9241 |