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

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 propos...

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Main Authors: Astuti, Winda, Salma, A. M, Aibinu, Abiodun Musa, Akmeliawati, Rini, Salami, Momoh Jimoh Emiyoka
Format: Conference or Workshop Item
Language:English
English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/5214/
http://irep.iium.edu.my/5214/1/Automatic_Arabic_Recognition_System_based_on_Support_Vector.pdf
http://irep.iium.edu.my/5214/4/Automatic_Arabic_recognition_system_based_on_support_vector_machines_%28SVMs%29.pdf
id iium-5214
recordtype eprints
spelling iium-52142012-05-09T00:50:43Z http://irep.iium.edu.my/5214/ Automatic Arabic Recognition System based on Support Vector Machines (SVM) Astuti, Winda Salma, A. M Aibinu, Abiodun Musa Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka TA Engineering (General). Civil engineering (General) 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. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5214/1/Automatic_Arabic_Recognition_System_based_on_Support_Vector.pdf application/pdf en http://irep.iium.edu.my/5214/4/Automatic_Arabic_recognition_system_based_on_support_vector_machines_%28SVMs%29.pdf 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.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Astuti, Winda
Salma, A. M
Aibinu, Abiodun Musa
Akmeliawati, Rini
Salami, Momoh Jimoh Emiyoka
Automatic Arabic Recognition System based on Support Vector Machines (SVM)
description 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.
format Conference or Workshop Item
author Astuti, Winda
Salma, A. M
Aibinu, Abiodun Musa
Akmeliawati, Rini
Salami, Momoh Jimoh Emiyoka
author_facet Astuti, Winda
Salma, A. M
Aibinu, Abiodun Musa
Akmeliawati, Rini
Salami, Momoh Jimoh Emiyoka
author_sort Astuti, Winda
title Automatic Arabic Recognition System based on Support Vector Machines (SVM)
title_short Automatic Arabic Recognition System based on Support Vector Machines (SVM)
title_full Automatic Arabic Recognition System based on Support Vector Machines (SVM)
title_fullStr Automatic Arabic Recognition System based on Support Vector Machines (SVM)
title_full_unstemmed Automatic Arabic Recognition System based on Support Vector Machines (SVM)
title_sort automatic arabic recognition system based on support vector machines (svm)
publishDate 2011
url http://irep.iium.edu.my/5214/
http://irep.iium.edu.my/5214/1/Automatic_Arabic_Recognition_System_based_on_Support_Vector.pdf
http://irep.iium.edu.my/5214/4/Automatic_Arabic_recognition_system_based_on_support_vector_machines_%28SVMs%29.pdf
first_indexed 2023-09-18T20:13:42Z
last_indexed 2023-09-18T20:13:42Z
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