Formant based analysis of spoken Arabic vowels

Authors:
Yousef Ajami Alotaibi;Amir Husain
Affiliations:
Computer Eng. Dept., College of Computer & Information Sciences, King Saud University;Department of Computing Science, Stirling University
Venue:
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Year:
2009

Citing 1
Cited 2

Discrete Time Processing of Speech Signals

Discrete Time Processing of Speech Signals

Speech Recognition System and Formant Based Analysis of Spoken Arabic Vowels

FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Arabic vowels recognition based on wavelet average framing linear prediction coding and neural network

Speech Communication

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Abstract

In general, speech sounds are classified into two categories: vowels that contain no major air restriction through the vocal tract, and consonants that involve a significant restriction and are therefore weaker in amplitude and often "noisier" than vowels. This study is specifically concerned with modern standard Arabic dialect. Whilst there has been disagreement between linguistics and researchers on the exact number of Arabic vowels that exist, here we consider the case of eight Arabic vowels that comprise the six basic ones in addition to two diphthongs. The first and second formant values in these vowels are investigated and the differences and similarities between the vowels are researched using consonant-vowels-consonant (CVC) utterances. The Arabic vowels are analyzed in both time and frequency domains, and the results of the analysis will facilitate future Arabic speech processing tasks such as vowel and speech recognition and classification.