Table 6 The comparison of the proposed method with recent works
Reference | Feature vector | Feature selection approach | Classifier | Accuracy based on the MEEI (%) | Accuracy based on the RusDS (%) |
|---|---|---|---|---|---|
The proposed method | WP energy, WP entropy, MFCC | Genetic algorithm | Artificial neural network | 94.24 | 95.3 |
[32] | WP entropy | Genetic algorithm | Support vector machine with radial basis function | 94.69 | 92.1 |
[12] | Harmonic-to-noise ratio, normalized noise energy, glottal-to-noise excitation ratio, energy, MFCC | - | HMM with two states | 93.8 | 90.3 |