References | Feature extraction | Classifier | Accuracy (%) | Sensitivity (%) | Specificity (%) |
---|---|---|---|---|---|
[8] | DWTā+āMFCCs | SVM | 97.9 | 98.2 | 99.4 |
[8] | DWT | SVM | 92.3 | 92.3 | 98.4 |
[8] | MFCCs | SVM | 91.6 | 87.3 | 96.6 |
[5] | ā | Deep wavenet | 98.2 | 97.0 | 92.5 |
[31] | PCA | Random forest | 94.8 | 94.7 | 98.7 |
[31] | PCA | KNN | 91.6 | 91.5 | 97.9 |
[37] | ā | CNN | 98.7 | 98.7 | 99.6 |
This study | FMFE | SVM | 94.9 | 95.7 | 98.8 |
Ā | FMFE | KNN | 90.0 | 90.5 | 97.5 |
Ā | FMFE | Random forest | 96.5 | 97.0 | 99.1 |
Ā | FMFE | MLP | 93.1 | 93.7 | 98.3 |
Ā | FMFEā+āMFCCs | SVM | 99.0 | 99.4 | 99.7 |
Ā | FMFEā+āMFCCs | KNN | 98.4 | 98.5 | 99.6 |
Ā | FMFEā+āMFCCs | Random forest | 98.2 | 98.5 | 99.6 |
Ā | FMFEā+āMFCCs | MLP | 96.9 | 97.0 | 99.2 |