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Towards using CMU sphinx tools for the Holy Quran recitation verification

El Amrani, Mohamed Yassine and Rahman, M.M. Hafizur and Wahiddin, Mohamed Ridza and Shah, Asadullah (2016) Towards using CMU sphinx tools for the Holy Quran recitation verification. International Journal on Islamic Applications in Computer Science And Technology (IJASAT), 4 (2). pp. 10-15. ISSN 2289-4012

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Abstract

The use of the Automatic Speech Recognition (ASR) technology is being used in many different applications that help simplify the interaction with a wider range of devices. This paper investigates the use of a simplified set of phonemes in an ASR system applied to Holy Quran. The Carnegie Mellon University Sphinx 4 tools were used to train and evaluate a language model on Holy Quran recitations that are widely available online. The building of the language model was done using a simplified list of phonemes instead of the mainly used Romanized in order to simplify the process of training the acoustic model. In this paper, the experiments resulted in Word Error Rates (WER) as low as 1.5% even with a very small set of audio files used during the training phase.

Item Type: Article (Journal)
Additional Information: 6724/51912
Uncontrolled Keywords: Automatic speech recognition, Holy Quran recognition, Human voice
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Dr. M.M. Hafizur Rahman
Date Deposited: 22 Sep 2016 16:35
Last Modified: 22 Sep 2016 16:35
URI: http://irep.iium.edu.my/id/eprint/51912

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