A two-stage approach using Gaussian mixture models and higher-order statistics for a classification of normal and pathological voices

EURASIP Journal on Advances in Signal Processing

Table 2 Performance of the means of the normalized skewness and kurtosis

Method	Confusion matrix		Accuracy (%)	Specificity (%)	Sensitivity (%)	AUC (%)
Mean of the normalized skewness	81.25	18.75	82.31 ± 5.67	83.00	81.64	89.36
	16.64	83.36
Mean of the normalized kurtosis	83.33	16.67	83.67 ± 6.89	83.89	83.49	92.38
	16.00	84.00