Table 13 Comparison with other Models in Terms of Time Complexity, Loss and Accuracy.
Channel | Model | Time (s) | Loss | Accuracy |
---|---|---|---|---|
Ch0_output | CTDNN-Spoof | 12.3 | 0.0217 | 0.9485 |
Model 2 | 11.5 | 0.0170 | 0.9659 | |
Model 3 | 10.8 | 0.0115 | 0.9612 | |
Ch1_output | CTDNN-Spoof | 13.1 | 0.0200 | 0.9503 |
Model 2 | 12.7 | 0.0250 | 0.9496 | |
Model 3 | 11.4 | 0.0190 | 0.9356 | |
Ch2_output | CTDNN-Spoof | 14.0 | 0.0132 | 0.9806 |
Model 2 | 13.6 | 0.0033 | 0.9659 | |
Model 3 | 13.2 | 0.0115 | 0.9966 | |
Ch3_output | CTDNN-Spoof | 15.5 | 0.0122 | 0.9739 |
Model 2 | 14.8 | 0.0123 | 0.9749 | |
Model 3 | 14.1 | 0.0082 | 0.9712 | |
Ch4_output | CTDNN-Spoof | 16.7 | 0.0143 | 0.9766 |
Model 2 | 15.9 | 0.0078 | 0.9659 | |
Model 3 | 15.2 | 0.0115 | 0.9842 | |
Ch5_output | CTDNN-Spoof | 17.3 | 0.0096 | 0.9858 |
Model 2 | 16.8 | 0.0022 | 0.9955 | |
Model 3 | 16.0 | 0.0015 | 0.9946 | |
Ch6_output | CTDNN-Spoof | 18.5 | 0.0098 | 0.9828 |
Model 2 | 17.9 | 0.0048 | 0.9901 | |
Model 3 | 17.2 | 0.0031 | 0.9898 | |
Ch7_output | CTDNN-Spoof | 19.0 | 0.0224 | 0.9314 |
Model 2 | 18.3 | 0.0269 | 0.9461 | |
Model 3 | 17.6 | 0.0198 | 0.9335 |