Table 6. WRR Performance of benchmark MCSE and the proposed MCSE under non-stationary noises of the AURORA dataset.
| Database | Noise | SNR/dB | BAV-MCSE | DWT-CNN-MCSE | DIFFERENCES |
|---|---|---|---|---|---|
| WRR (%) | WRR (%) | WRR (%) | |||
| AURORA (Non-Stationary Noises) |
Airport | −10 | 5.82 | 70.55 | 64.73 |
| −5 | 12.32 | 72.51 | 60.19 | ||
| 0 | 19.06 | 78.75 | 59.69 | ||
| 5 | 36.14 | 77.44 | 41.3 | ||
| 10 | 67.26 | 67.15 | −0.11 | ||
| 15 | 88.88 | 75.44 | −13.44 | ||
| Babble | −10 | 4.04 | 68.50 | 64.46 | |
| −5 | 7.12 | 70.25 | 63.13 | ||
| 0 | 17.56 | 70.32 | 52.76 | ||
| 5 | 35 | 66.44 | 31.44 | ||
| 10 | 74.18 | 73.79 | −0.39 | ||
| 15 | 90.64 | 61.49 | −29.15 | ||
| Car | −10 | 7.26 | 72.50 | 65.24 | |
| −5 | 13.26 | 74.60 | 61.34 | ||
| 0 | 16.55 | 80.49 | 63.94 | ||
| 5 | 35.16 | 77.44 | 42.28 | ||
| 10 | 67.2 | 81.49 | 14.29 | ||
| 15 | 92.02 | 78.8 | −13.22 | ||
| Exhibition | −10 | 6.54 | 65.15 | 58.61 | |
| −5 | 11.54 | 68.25 | 56.71 | ||
| 0 | 20.23 | 80.45 | 60.22 | ||
| 5 | 44.66 | 77.73 | 33.07 | ||
| 10 | 77.72 | 76.42 | −1.3 | ||
| 15 | 91.46 | 73.75 | −17.71 | ||
| Restaurant | −10 | 4.54 | 72.50 | 67.96 | |
| −5 | 6.38 | 73.50 | 67.12 | ||
| 0 | 12.12 | 80.39 | 68.27 | ||
| 5 | 38.24 | 77.75 | 39.51 | ||
| 10 | 55.56 | 76.35 | 20.79 | ||
| 15 | 75.2 | 74.48 | −0.72 |