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

Table 6

Testing phase result based on 2-second segment length.

Features’ number	Accuracy	F1-measure	Recall	Precision	RMSE
SVM	0.980861	0.980858	0.980861	0.980868	0.516454
LR	0.968896	0.968941	0.968896	0.968998	0.634262
DT	0.682805	0.68334	0.682805	0.684155	1.859028
RF	0.940434	0.940081	0.940434	0.940039	0.839006
NB	0.886737	0.885253	0.886737	0.886315	1.135998
KNN	0.956279	0.95667	0.956279	0.957806	0.789826
ANN	0.971244	0.971063	0.971244	0.971251	0.614763
AdaBoost	0.724471	0.724527	0.724471	0.731606	1.820349
Proposed model	0.988262	0.988229	0.988262	0.988323	0.434703