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Table 5 Performance comparison on LITIS ROUEN dataset

From: Discriminative frequency filter banks learning with neural networks

Method Accuracy F-measure MCC Error
TriFB 96.24 96.19 96.01 3.76
GaussFB 96.33 96.44 96.11 3.67
TriFB-DN 96.61 96.50 96.39 3.39
GaussFB-DN 96.83 96.71 96.63 3.17
BandPosFB-DN 96.84 96.71 96.64 3.16
PosFB-DN 96.15 96.04 95.91 3.85
CNN-Gam [9] 95.8 95.8 4.2
CNN-MFCC [9] 94.0 93.7 6.0
CNN-Log [9] 95.1 95.0 4.9
RNN-Gam [8] 96.4 96.6 3.6
RNN-MFCC [8] 95.4 95.8 4.6
RNN-Log [8] 95.9 96.2 4.1