Table 8.

Comparison of our proposed method with other systems

Reference Feature extraction method	Number of features	Number of classes	Database	Accuracy (%)
Our proposed method	HOS-based features/5	4	Private	97.71
Our previous method (Nasrolahzadeh et al. 2014)	Acoustic and the voice quality features/more than 100 feature	4	Private	97.96
López de Ipiña et al. (2013)	Acoustic and the voice quality and duration features + Fractal dimension/more than 100 feature	4	Private	97.7
König et al. (2015)	First vocal markers/6	3	Private	81