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Table 6 The comparison of the proposed method with recent works

From: A novel hybrid of genetic algorithm and ANN for developing a high efficient method for vocal fold pathology diagnosis

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