The Recognition of Holy Qur’an Reciters Using the MFCCs’ Technique and Deep Learning

Table 8

Testing phase result based on 4-second segment length.

Features’ number	Accuracy	F1-measure	Recall	Precision	RMSE
SVM	0.98761	0.987617	0.98761	0.987648	0.390015
LR	0.981807	0.981838	0.981807	0.981945	0.481463
DT	0.668427	0.669207	0.668427	0.672091	1.978908
RF	0.96068	0.960466	0.96068	0.960494	0.667839
NB	0.927816	0.926662	0.927816	0.927617	0.933215
KNN	0.969483	0.96975	0.969483	0.970703	0.649575
ANN	0.969483	0.96946	0.969483	0.969577	0.608044
AdaBoost	0.682511	0.683807	0.682511	0.689531	1.920362
Proposed model	0.995406	0.995403	0.995406	0.995431	0.287566