Model | Mean accuracy under −4 dB (%) | Mean accuracy under 4 dB (%) | Noise influence (NI) |
---|---|---|---|
CNN | 53.67 \(\pm\) 1.36 | 73.05 \(\pm\) 2.22 | 3.32 |
SincNet | 66.33 \(\pm\) 2.78 | 91.01 \(\pm\) 2.52 | 3.40 |
WaveletNet-L | 65.78 \(\pm\) 3.98 | 88.59 \(\pm\) 2.48 | 3.22 |
WaveletNet-m | 66.56 \(\pm\) 2.54 | 90.08 \(\pm\) 1.16 | 3.26 |
WaveletNet-M | 50.47 \(\pm\) 2.22 | 80.08 \(\pm\) 2.38 | 4.62 |
RSNet | 63.28 \(\pm\) 2.68 | 93.59 \(\pm\) 1.55 | 4.05 |
WCNN | 58.20 \(\pm\) 2.4 | 96.33 \(\pm\) 0.99 | 4.95 |
MKCNN | 61.17 \(\pm\) 2.99 | 86.56 \(\pm\) 1.3 | 3.67 |
DFAWNet-1 | 76.09 \(\pm\) 2.37 | 93.20 \(\pm\) 1.78 | 2.29 |
DFAWNet | 81.64 \(\pm\) 1.3 | 96.56 \(\pm\) 1.0 | 2.10 |