Open Access
Quranic Verse Recitation Recognition Module for Support in j-QAF Learning: A Review
Zaidi Razak,Noor Jamaliah Ibrahim,Mohd Yamani Idna Idris,Emran Mohd Tamil,Mohd Yakub,Zulkifli Mohd Yusoff,Noor Naemah Abdul Rahman,Kuala Lumpur +7 more
- Vol. 8, Iss: 8
TLDR
A comprehensive review of Quran Arabic verse recitation recognition focusing on the techniques used, the advantages, and drawbacks is provided in this article, where areas with potential of further expansion are identified for future research for support in j-QAF learning.Abstract:
†Summary Each person’s voice is different. Thus, the Quran sound, which had been recited by most of recitors will probably tend to differ a lot from one person to another. Although those Quranic sentence were particularly taken from the same verse, but the way of the sentence in Al-Quran been recited or delivered may be different. It may produce the difference sounds for the different recitors. Those same combinations of letters may be pronounced differently due to the use of harakates. This paper seeks to provide a comprehensive review of Quran Arabic verse recitation recognition focusing on the techniques used, the advantages, and drawbacks. Areas with potential of further expansion are identified for future research for support in j-QAF learning.read more
Citations
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Journal Article
E-hafiz: Intelligent system to help muslims in recitation and memorization of Quran
Aslam Muhammad,Zia ul Qayyum,M. Waqar Mirza,Saad Tanveer,A. M. Martinez-Enriquez,Afraz Z. Syed +5 more
TL;DR: E-Hafiz is designed and developed based on an idea that Tajweed rules are used to train learners how to recite Quran and extracted features of recorded voices using Mel-Frequency Cepstral Coefficient (MFCC) technique and compared with experts’ voices stored in database.
Journal ArticleDOI
Automated tajweed checking rules engine for Quranic learning
TL;DR: A structural overview of speech recognition system for developing Quranic verse recitation recognition with tajweed checking rules function is provided to support the existing and manual method of talaqqi and musyafahah method in Quranic learning process.
Proceedings ArticleDOI
Voice Content Matching System for Quran Readers
TL;DR: E-hafiz is based on Mel-Frequency Cepstral Coefficient (MFCC) technique to extract voice features from Quranic verse recitation and maps them with the data collected during the training phase and any mismatch mistake is pointed out.
Book
Speech coding algorithms : foundation and evolution of standardized coders
TL;DR: This paper presents a review of Linear Algebra: Orthogonality, Basis, Linear Independence, and the Gram-Schmidt Algorithm, as well as some properties of Line Spectral Frequency, which are used in the CELP Predictor.
Journal ArticleDOI
Online integrity and authentication checking for Quran electronic versions
Izzat Alsmadi,Mohammad Zarour +1 more
TL;DR: A model and a tool are designed and evaluated to evaluate the integrity of the wording in the e-versions of the Quran through generating a Meta data related to all words in the Quran preserving the counts and locations.
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