Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation

Yousfi, Bilal and Zeki, Akram M. (2017) Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation. In: IEEE 13th International Colloquium on Signal Processing & its Application (CSPA 2017), 10th – 12th March 2017, Penang, Malaysia.

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Abstract

In the process of learning Quran, reciters should have the provisions of Tajweed rules when reading the Quran. This study provides a research related to Quran that can assist and ensure proper pronunciation, readings and interpretations in proper Quranic recitation rules based on the speech recognition where reciters can distinguish and recognize and correct during their recitation the pronunciation of Imaalah (Tajweed rules) for Warsh recitation type. In this research, speech samples form reciters is used to compare with the sample recitation features collected from expert reciters that have been stored in the database. The collected samples are analysed by using preprocessing techniques. The sound features are extracted during the features extraction using the well-known algorithm which is Mel-Frequency Cepstral Coefficient (MFCC). Subsequently, after features extraction, a classification algorithm (Hidden Markov Models (HMM)) is employed to compare the features extracted in real-time with that available in the knowledge base.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6153/62847
Uncontrolled Keywords:	component; Quran; Speech recognition; MFCC; HMM; Imallah
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Akram M Zeki
Date Deposited:	20 Mar 2018 19:13
Last Modified:	27 Jun 2018 16:40
URI:	http://irep.iium.edu.my/id/eprint/62847

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