Phonetically rich and balanced text and speech corpora for Arabic language

Abushariah, Mohammad Abd-Alrahman Mahmoud and Ainon, Raja Noor and Zainuddin, Roziati and Elshafei, Moustafa and Khalifa, Othman Omran (2011) Phonetically rich and balanced text and speech corpora for Arabic language. Language Resources and Evaluation. pp. 1-34. ISSN 1574-020X

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Abstract

This paper describes the preparation, recording, analyzing, and evaluation of a new speech corpus for Modern Standard Arabic (MSA). The speech corpus contains a total of 415 sentences recorded by 40 (20 male and 20 female) Arabic native speakers from 11 different Arab countries representing three major regions (Levant, Gulf, and Africa). Three hundred and sixty seven sentences are considered as phonetically rich and balanced, which are used for training Arabic Automatic Speech Recognition (ASR) systems. The rich characteristic is in the sense that it must contain all phonemes of Arabic language, whereas the balanced characteristic is in the sense that it must preserve the phonetic distribution of Arabic language. The remaining 48 sentences are created for

Item Type:	Article (Newspaper)
Additional Information:	4119/10572
Uncontrolled Keywords:	Modern Standard Arabic · Speech corpus · Text corpus · Phonetically rich · Phonetically balanced · Automatic continuous speech recognition
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	14 Mar 2012 08:43
Last Modified:	22 Oct 2020 09:05
URI:	http://irep.iium.edu.my/id/eprint/10572

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