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Towards an accurate speaker-independent Holy Quran acoustic model

El Amrani, Mohamed Yassine and Rahman, M. M. and Wahiddin, Mohamed Ridza and Shah, Asadullah (2018) Towards an accurate speaker-independent Holy Quran acoustic model. In: 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017, 29 November- 1 December 2017, AMA International University Salmabad; Bahrain.

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Abstract

The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by increasing the training data. In this paper, a more accurate Carnegie Melon University Sphinx acoustic model was trained for the Holy Quran chapters 001, and 067 to 114. When more efforts were put into having a more accurate training data, the resulting Word Error Rate of trained acoustic model reached around 15%.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 3760/66925
Uncontrolled Keywords: Automatic speech recognition; Arabic speech recognition; Holy quran recognition; CMU sphinx.
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TA Engineering (General). Civil engineering (General) > TA365 Acoustics in engineering. Acoustical engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology

Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Professor Dr Mohamed Ridza Wahiddin
Date Deposited: 18 Oct 2018 16:33
Last Modified: 18 Oct 2018 16:33
URI: http://irep.iium.edu.my/id/eprint/66925

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