eISSN 2093-744X
pISSN 1598-2645

Table 2

Classification results in existing studies on snoring data

	Feature extraction technique	Classifier	Data size		Test accuracy (%)
	Feature extraction technique	Classifier	Subject	Training	Test accuracy (%)
Demir et al. [20]	LBP+HOG	SVM	-	828	72.00
Lim et al. [11]	ZCR+STFT+MFCC	RNN	8	5600	98.80
Kang et al. [6]	MFCC	CNN+LSTM	24	24	88.28
Arsenali et al. [9]	MFCC	RNN	20	5670	95.00
Khan [21]	MFCC	CNN	-	1000	96.00
Wang et al. [22]	-	Dual CNN+GRU	-	828	63.80
Tuncer et al. [10]	PTT signal+AlexNet+VGG16	SVM+KNN	100	100	92.78
Dalal and Triggs [23]	SCAT+GMM+MAP	MLP	224	282	67.71

GRU, gated recurrent unit; SCAT, deep scattering spectrum; GMM, Gaussian mixture model; MAP, maximum a posteriori; MLP, multilayer perceptron

International Journal of Fuzzy Logic and Intelligent Systems 2022;22:1~10 https://doi.org/10.5391/IJFIS.2022.22.1.1