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

Table 7

Testing phase result based on 3-second segment length.

Features’ number	Accuracy	F1-measure	Recall	Precision	RMSE
SVM	0.987235	0.987206	0.987235	0.987243	0.407348
LR	0.974471	0.974466	0.974471	0.974542	0.576841
DT	0.677816	0.67824	0.677816	0.679116	1.94624
RF	0.953785	0.953264	0.953785	0.953817	0.723717
NB	0.923415	0.922244	0.923415	0.923427	0.919277
KNN	0.968309	0.968487	0.968309	0.969337	0.618451
ANN	0.977112	0.977062	0.977112	0.977154	0.566835
AdaBoost	0.700704	0.700658	0.700704	0.701963	1.763653
Proposed model	0.987676	0.987652	0.987676	0.987684	0.423765