Virtual Learning System (Miqra’ah) for Quran Recitations for Sighted and Blind Students

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

Google-based Impact Factor: 1.22
Citations h5-index & Ranking

Journals Menu

"Virtual Learning System (Miqra’ah) for Quran Recitations for Sighted and Blind Students"
written by Samir A. Elsagheer Mohamed, Allam Shehata Hassanin, Mohamed Taher Ben Othman,
published by Journal of Software Engineering and Applications, Vol.7 No.4, 2014

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Mobile technology and Islamic education for non-native Arabic children
	2022

[2]	Towards an Efficient Voice Identification Using Wav2Vec2. 0 and HuBERT Based on the Quran Reciters Dataset
	arXiv preprint arXiv:2111.06331, 2021

[3]	MANAJEMEN PEMBELAJARAN TAJWID BERSANAD BERBASIS DARING (Studi Kasus pada Kelas Tuhfatul Athfal di Ma'had Al Imam Syu'bah Boyolali)
	2021

[4]	Virtual Learning: Theory & Techniques
	2020

[5]	Predicting Quranic Audio Clips Reciters Using Classical Machine Learning Algorithms: A Comparative Study
	2020

[6]	An efficient holy quran recitation recognizer based on svm learning model
	2020

[7]	Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations
	2020

[8]	The Virtual Da'wa Laboratory for Islamic Moderatism: Multi-Case Study of Walisongo TV and MBS FM
	2020

[9]	Ar-DAD: Arabic diversified audio dataset
	2020

[10]	Media-Assisted quranic learning_Usability of i_talk pismen application among students with visual impairment
	2020

[11]	The Omani Distance Learning Program to Teach the Holy Quran: Analytical Descriptive Study
	2019

[12]	Development model of digital Quran based on technology Acceptance in learning performance
	Journal of Fundamental and Applied Sciences, 2018

[13]	Towards an accurate speaker-independent Holy Quran acoustic model
	2017

[14]	Strategies for implementing an optimal ASR system for quranic recitation recognition
	International Journal of Computer Applications, 2017

[15]	DESIGN OF INTELLIGENT QIRA'AT IDENTIFICATION ALGORITHM
	2017

[16]	UI design recommendation for illiterate/semi-literate
	2016

[17]	UWBLOCALIZATION FOR ARABIC INDOOR NAVIGATION SYSTEM FOR BLINDS
	2016

[18]	Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes
	Egyptian Informatics Journal, 2016

[19]	Analysis on Mel Frequency Cepstral Coefficients and Linear Predictive Cepstral Coefficients as Feature Extraction on Automatic Accents Identification
	International Journal of Applied Engineering Research [IJAER], 2016

[20]	Towards Using CMU Sphinx Tools for the Holy Quran Recitation Verification
	2015

[21]	Exploring Qur'an by using Aspects and Dependencies
	2015

[22]	Feature extraction using Spectral Centroid and Mel Frequency Cepstral Coefficient for Quranic Accent Automatic Identification
	Research and Development (SCOReD), 2014 IEEE Student Conference on, 2014

[1]	Recent Advances in NLP: The Case of Arabic Language Studies in Computational Intelligence, 2020 DOI:10.1007/978-3-030-34614-0_10

[2]	Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations Neurocomputing, 2020 DOI:10.1016/j.neucom.2020.07.099

[3]	Towards an accurate speaker-independent Holy Quran acoustic model 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2017 DOI:10.1109/ICETAS.2017.8277887

[4]	Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes Egyptian Informatics Journal, 2016 DOI:10.1016/j.eij.2016.04.002

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

Journals Menu

Home

About SCIRP

Service

Policies