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Automatic Arabic Recognition System based on Support Vector Machines (SVM)

Astuti, Winda and Salma, A. M and Aibinu, Abiodun Musa and Akmeliawati, Rini and Salami, Momoh Jimoh Emiyoka (2011) Automatic Arabic Recognition System based on Support Vector Machines (SVM). In: National Postgraduate Conference (NPC 2011), 19-20 September 2011, UTP.

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Abstract

Automatic Speech Recognition (ASR)for Arabic word has been developed in this work. The system has the ability to recognize word that is uttered the speaker. In this paper, an approach using support vector machines (SVMs) for identifying Arabic word based on the speaker speech is proposed. The proposed SVMs based Automatic Speech Recognition system is tested experimentally using words uttered by 20 native arabic speakers. The Mel Frequency Cepstral Coefficient (MFCC) is adopted as a feature and later used as an input to the SVM-based identifier. The performance of the proposed technique has been investigated, especially for multiclass classification and it is found to produce good accuracy within short duration training time.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6472/5214
Uncontrolled Keywords: Automatic speech recognition, SVM, MFCC
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 09 Nov 2011 16:33
Last Modified: 09 May 2012 08:50
URI: http://irep.iium.edu.my/id/eprint/5214

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