Table 2 AUC (%) comparison between the proposed method and DNN-based VAD methods using speech period candidates and log power spectra as the baseline for unknown SNR environments (7, 3, − 3, and − 7 dB)
From: Enhancement of speech dynamics for voice activity detection using DNN
AUC (%)—mean ± standard deviation | ||||
|---|---|---|---|---|
Noise | SNR (dB) | Proposed | Log power spectra | Speech period candidates |
White | 7 | 97.57 ±0.41 | 97.44 ±0.53 | 96.82 ±0.44 |
3 | 97.10 ±0.56 | 96.92 ±0.53 | 96.25 ±0.55 | |
− 3 | 95.72 ±0.69 | 95.04 ±0.89 | 94.36 ±0.88 | |
− 7 | 93.31 ±0.81 | 92.43 ±1.01 | 91.77 ±0.69 | |
Babble | 7 | 95.87 ±0.58 | 95.36 ±0.73 | 95.20 ±0.68 |
3 | 93.77 ±0.54 | 92.49 ±0.62 | 93.26 ±0.69 | |
− 3 | 86.90 ±0.95 | 83.37 ±1.14 | 86.10 ±1.01 | |
− 7 | 78.49 ±1.00 | 73.11 ±0.86 | 77.55 ±0.81 | |
Factory | 7 | 96.50 ±0.50 | 96.11 ±0.53 | 95.88 ±0.73 |
3 | 95.00 ±0.54 | 94.11 ±0.59 | 94.43 ±0.71 | |
− 3 | 89.05 ±0.34 | 85.00 ±0.56 | 88.40 ±0.48 | |
− 7 | 80.49 ±0.72 | 72.66 ±1.54 | 79.45 ±0.80 | |
Car | 7 | 98.99 ±0.15 | 98.81 ±0.17 | 97.51 ±0.40 |
3 | 98.92 ±0.16 | 98.71 ±0.18 | 97.29 ±0.42 | |
− 3 | 98.66 ±0.19 | 98.39 ±0.23 | 96.69 ±0.37 | |
− 7 | 98.10 ±0.42 | 97.74 ±0.54 | 95.89 ±0.43 | |
Pink | 7 | 97.20 ±0.50 | 96.64 ±0.66 | 96.31 ±0.71 |
3 | 96.21 ±0.60 | 95.48 ±0.67 | 95.46 ±0.60 | |
− 3 | 93.57 ±0.84 | 91.34 ±0.74 | 92.22 ±0.69 | |
− 7 | 89.32 ±0.65 | 84.92 ±0.66 | 86.93 ±0.50 | |