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. 2024 Feb 28;10:e1901. doi: 10.7717/peerj-cs.1901

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