Speech enhancement based on compressive sensing algorithm
There are various methods, in performance of speech enhancement, have been proposed over the years. The accurate method for the speech enhancement design mainly focuses on quality and intelligibility. The method proposed with high performance level. A novel speech enhancement by using compressive se...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/1/Amart_Compressive_Sensing_camera_ready.pdf http://irep.iium.edu.my/32413/4/teddy.pdf |
| _version_ | 1848780557811449856 |
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| author | Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel |
| author_facet | Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel |
| author_sort | Sulong, Amart |
| building | IIUM Repository |
| collection | Online Access |
| description | There are various methods, in performance of speech enhancement, have been proposed over the years. The accurate method for the speech enhancement design mainly focuses on quality and intelligibility. The method proposed with high performance level. A novel speech enhancement by using compressive sensing (CS) is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. Using CS can reduce the number of degrees of freedom of a sparse/compressible signal by permitting only certain configurations of the large and zero/small coefficients, and structured sparsity models. Therefore, CS is significantly provides a way of reconstructing a compressed version of the speech in the original signal by taking only a small amount of linear and non-adaptive measurement. The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). Experimental results show that the CS algorithm perform very well in a wide range of speech test and being significantly given good performance for speech enhancement method with better noise suppression ability over conventional approaches without obvious degradation of speech quality. |
| first_indexed | 2025-11-14T15:35:34Z |
| format | Proceeding Paper |
| id | iium-32413 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T15:35:34Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-324132013-12-24T01:59:15Z http://irep.iium.edu.my/32413/ Speech enhancement based on compressive sensing algorithm Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel TK Electrical engineering. Electronics Nuclear engineering There are various methods, in performance of speech enhancement, have been proposed over the years. The accurate method for the speech enhancement design mainly focuses on quality and intelligibility. The method proposed with high performance level. A novel speech enhancement by using compressive sensing (CS) is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. Using CS can reduce the number of degrees of freedom of a sparse/compressible signal by permitting only certain configurations of the large and zero/small coefficients, and structured sparsity models. Therefore, CS is significantly provides a way of reconstructing a compressed version of the speech in the original signal by taking only a small amount of linear and non-adaptive measurement. The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). Experimental results show that the CS algorithm perform very well in a wide range of speech test and being significantly given good performance for speech enhancement method with better noise suppression ability over conventional approaches without obvious degradation of speech quality. 2013 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/32413/1/Amart_Compressive_Sensing_camera_ready.pdf application/pdf en http://irep.iium.edu.my/32413/4/teddy.pdf Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Chebil, Jalel (2013) Speech enhancement based on compressive sensing algorithm. In: International Conference on Mechatronics (ICOM'03), 2-4 July 2013, Berjaya Times Square Hotel, Kuala Lumpur. (Unpublished) http://www.iium.edu.my/icom2013/13/ |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel Speech enhancement based on compressive sensing algorithm |
| title | Speech enhancement based on compressive sensing algorithm |
| title_full | Speech enhancement based on compressive sensing algorithm |
| title_fullStr | Speech enhancement based on compressive sensing algorithm |
| title_full_unstemmed | Speech enhancement based on compressive sensing algorithm |
| title_short | Speech enhancement based on compressive sensing algorithm |
| title_sort | speech enhancement based on compressive sensing algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/1/Amart_Compressive_Sensing_camera_ready.pdf http://irep.iium.edu.my/32413/4/teddy.pdf |