Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16538
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Comparative Analysis of Arabic Vowels using Formants and an Automatic Speech Recognition System
Authors: Alotaibi, Yousef Ajami
Hussain, Amir
Contact Email: amir.hussain@stir.ac.uk
Keywords: MSA
Arabic
Vowels
Analysis
Speech
Recognition
Formants
HMM
ASR
Issue Date: Jun-2010
Publisher: Science and Engineering Research Support Society
Citation: Alotaibi YA & Hussain A (2010) Comparative Analysis of Arabic Vowels using Formants and an Automatic Speech Recognition System, International Journal of Signal Processing, Image Processing and Pattern Recognition, 3 (2), pp. 11-22.
Abstract: Arabic, the world's second most spoken language in terms of number of speakers, has not received much attention from the traditional speech processing research community. This study is specifically concerned with the analysis of vowels in modern standard Arabic dialect. The first and second formant values in these vowels are investigated and the differences and similarities between the vowels explored using consonant-vowels-consonant (CVC) utterances. For this purpose, a Hidden Markov Model (HMM) based recognizer is built to classify the vowels and the performance of the recognizer analyzed to help understand the similarities and dissimilarities between the phonetic features of vowels. The vowels are also analyzed in both time and frequency domains, and the consistent findings of the analysis are expected to enable future Arabic speech processing tasks such as vowel and speech recognition and classification.
Type: Journal Article
URI: http://hdl.handle.net/1893/16538
URL: http://www.sersc.org/journals/IJSIP/vol3_no2/2.pdf
Rights: The publisher has granted permission for use of this work in this Repository. Published in International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 3, No. 2, pp.11-22, June 2010 by Science & Engineering Research Support Center : http://www.sersc.org/journals/IJSIP/vol3_no2.php.
Affiliation: King Saud University, Saudi Arabia
Computing Science - CSM Dept

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