Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network
In this paper, an automatic speaker–independent Arabic word speech recognition system is presented using 3D Radon and Multiwavelet neural network. The approach contains combining multiwavelet theory to neural network which lead to fabricate a Multiwavenet. Position and dilation of the Multiwavenets...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2013-06-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_82125_777834ae052c5c53327e7ee901f7c1e9.pdf |
| _version_ | 1797325582122352640 |
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| author | Tarik Zeyad Ismaeel |
| author_facet | Tarik Zeyad Ismaeel |
| author_sort | Tarik Zeyad Ismaeel |
| collection | DOAJ |
| description | In this paper, an automatic speaker–independent Arabic word speech recognition system is presented using 3D Radon and Multiwavelet neural network. The approach contains combining multiwavelet theory to neural network which lead to fabricate a Multiwavenet. Position and dilation of the Multiwavenets are fixed and the weights are optimized according to learning algorithm in the network. The feature extraction for real Arabic word signals through 3D radon model is used. The proposed terminology here is training process for some words of all speakers done in Multiwavenet learning phase then test for the other sample speech signals for speakers have been used in Multiwavenet classification phase. Success theory of Multiwavenets has been generalized by extension to biorthogonal wavelets which lead to identification system development. Results show the effectiveness of the proposed system presented in this paper. The accuracy in the detection process was 86% when using utterances outside the training database and around 94% when using the whole utterances database in system test process. The proposed algorithms were implemented using MATLAB2011a. |
| first_indexed | 2024-03-08T06:11:28Z |
| format | Article |
| id | doaj.art-78dae5cff6de4078bfcaba01bd9c6d65 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:11:28Z |
| publishDate | 2013-06-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-78dae5cff6de4078bfcaba01bd9c6d652024-02-04T17:35:31ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582013-06-01317A1418143010.30684/etj.31.7A1482125Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural NetworkTarik Zeyad IsmaeelIn this paper, an automatic speaker–independent Arabic word speech recognition system is presented using 3D Radon and Multiwavelet neural network. The approach contains combining multiwavelet theory to neural network which lead to fabricate a Multiwavenet. Position and dilation of the Multiwavenets are fixed and the weights are optimized according to learning algorithm in the network. The feature extraction for real Arabic word signals through 3D radon model is used. The proposed terminology here is training process for some words of all speakers done in Multiwavenet learning phase then test for the other sample speech signals for speakers have been used in Multiwavenet classification phase. Success theory of Multiwavenets has been generalized by extension to biorthogonal wavelets which lead to identification system development. Results show the effectiveness of the proposed system presented in this paper. The accuracy in the detection process was 86% when using utterances outside the training database and around 94% when using the whole utterances database in system test process. The proposed algorithms were implemented using MATLAB2011a.https://etj.uotechnology.edu.iq/article_82125_777834ae052c5c53327e7ee901f7c1e9.pdfspeaker independent systemmultiwaveletmultiwavenetd radon transform |
| spellingShingle | Tarik Zeyad Ismaeel Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network Engineering and Technology Journal speaker independent system multiwavelet multiwavenet d radon transform |
| title | Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network |
| title_full | Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network |
| title_fullStr | Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network |
| title_full_unstemmed | Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network |
| title_short | Arabic Word Recognition Based on 3D Radon and Multiwavelet Neural Network |
| title_sort | arabic word recognition based on 3d radon and multiwavelet neural network |
| topic | speaker independent system multiwavelet multiwavenet d radon transform |
| url | https://etj.uotechnology.edu.iq/article_82125_777834ae052c5c53327e7ee901f7c1e9.pdf |
| work_keys_str_mv | AT tarikzeyadismaeel arabicwordrecognitionbasedon3dradonandmultiwaveletneuralnetwork |