Table 3 Classification results using fusion features by different classifiers
Feature | Classifier | Macro-P (%) | Macro-R (%) | Accuracy (%) |
|---|---|---|---|---|
SVM | 99.1 | 99.4 | 99.0 | |
FMFE + MFCCs | KNN | 98.5 | 98.5 | 98.4 |
Random forest | 98.3 | 98.5 | 98.2 | |
MLP | 97.1 | 97.0 | 96.9 |
Feature | Classifier | Macro-P (%) | Macro-R (%) | Accuracy (%) |
|---|---|---|---|---|
SVM | 99.1 | 99.4 | 99.0 | |
FMFE + MFCCs | KNN | 98.5 | 98.5 | 98.4 |
Random forest | 98.3 | 98.5 | 98.2 | |
MLP | 97.1 | 97.0 | 96.9 |