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Quranic verses verification using speech recognition techniques

Al-Quran is the holy book of Muslims which is written and recited in Arabic language, the language in which it was revealed. Muslims believe that the Quran is neither corrupted nor altered this is mainly due to maintaining its original text. It is forbidden to recite the Quran in any other language...

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Main Authors: Mohammed, Ammar, Sunar, Mohd. Shahrizal, Salam, Md. Sah
Format: Article
Published: Penerbit UTM Press 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/55169/
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spelling my.utm.551692017-11-01T04:17:03Z http://eprints.utm.my/id/eprint/55169/ Quranic verses verification using speech recognition techniques Mohammed, Ammar Sunar, Mohd. Shahrizal Salam, Md. Sah QA75 Electronic computers. Computer science Al-Quran is the holy book of Muslims which is written and recited in Arabic language, the language in which it was revealed. Muslims believe that the Quran is neither corrupted nor altered this is mainly due to maintaining its original text. It is forbidden to recite the Quran in any other language apart from Arabic with neither additions nor subtractions. However with the proliferation of technology especially the Internet and social media sites such as Facebook and Twitter, the spread of mistakenly or deliberately distorted audio clips are witnessed regularly. In this regard, it is necessary to preserve the authenticity and integrity of the Quran from all sorts of corruption. This paper describes challenges and solutions for building a successful verification system of the Quran verses online. The paper describes the techniques used to deal with a finite vocabulary how modelling completely in the voice domain for language model and dictionary can avoid some system complexity, and how we built dictionaries, language and acoustic models in the framework. Penerbit UTM Press 2015 Article PeerReviewed Mohammed, Ammar and Sunar, Mohd. Shahrizal and Salam, Md. Sah (2015) Quranic verses verification using speech recognition techniques. Jurnal Teknologi, 73 (2). pp. 99-106. ISSN 0127-9696
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohammed, Ammar
Sunar, Mohd. Shahrizal
Salam, Md. Sah
Quranic verses verification using speech recognition techniques
description Al-Quran is the holy book of Muslims which is written and recited in Arabic language, the language in which it was revealed. Muslims believe that the Quran is neither corrupted nor altered this is mainly due to maintaining its original text. It is forbidden to recite the Quran in any other language apart from Arabic with neither additions nor subtractions. However with the proliferation of technology especially the Internet and social media sites such as Facebook and Twitter, the spread of mistakenly or deliberately distorted audio clips are witnessed regularly. In this regard, it is necessary to preserve the authenticity and integrity of the Quran from all sorts of corruption. This paper describes challenges and solutions for building a successful verification system of the Quran verses online. The paper describes the techniques used to deal with a finite vocabulary how modelling completely in the voice domain for language model and dictionary can avoid some system complexity, and how we built dictionaries, language and acoustic models in the framework.
format Article
author Mohammed, Ammar
Sunar, Mohd. Shahrizal
Salam, Md. Sah
author_facet Mohammed, Ammar
Sunar, Mohd. Shahrizal
Salam, Md. Sah
author_sort Mohammed, Ammar
title Quranic verses verification using speech recognition techniques
title_short Quranic verses verification using speech recognition techniques
title_full Quranic verses verification using speech recognition techniques
title_fullStr Quranic verses verification using speech recognition techniques
title_full_unstemmed Quranic verses verification using speech recognition techniques
title_sort quranic verses verification using speech recognition techniques
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/55169/
_version_ 1643653715480018944
score 13.211869

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