Towards using CMU Sphinx Tools for the Holy Quran recitation verification

Amrani, Mohamed Y. El and Rahman, M.M. Hafizur and Wahiddin, Mohamed Ridza and Shah, Asadullah (2015) Towards using CMU Sphinx Tools for the Holy Quran recitation verification. In: 3rd International Conference on Islamic Applications in Computer Science and Technologies (IMAN 2015), Oct. 01-03, 2015, Konya, Turkey. (In Press)

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Abstract

The use of the Automatic Speech Recognition (ASR) technology is being used is 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 an acoustic model on Holy Quran recitations that are widely available online. The building of the acoustic 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 experiment resulted in Word Error Rates (WER) as low as 1.5% even with a very small set of audio files to use in the training phase.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6724/45260
Uncontrolled Keywords:	automatic speech recognition, Holy Quran recognition, human voice
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	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:	26 Oct 2015 14:25
Last Modified:	09 Jun 2020 13:50
URI:	http://irep.iium.edu.my/id/eprint/45260

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