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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| Format: | Proceeding Paper |
| Language: | English English |
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2011
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| 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 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:30:28Z |
| format | Proceeding Paper |
| id | iium-5214 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T14:30:28Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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. |
| 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) |
| title | 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_short | Automatic Arabic Recognition System based on Support Vector Machines (SVM) |
| title_sort | automatic arabic recognition system based on support vector machines (svm) |
| topic | TA Engineering (General). Civil engineering (General) |
| 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 |