Single channel speech enhancement using Wiener filter and compressive sensing
The speech enhancement algorithms are utilized to overcome multiple limitation factors in recent applications such as mobile phone and communication channel. The challenges focus on corrupted speech solution between noise reduction and signal distortion. We used a modified Wiener filter and compress...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/57755/ http://irep.iium.edu.my/57755/1/AmartSpeechEnhancement_7733-8387-1-Published.pdf http://irep.iium.edu.my/57755/7/57755_Single%20channel%20speech%20enhancement_scopus.pdf |
| _version_ | 1848784992147079168 |
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| author | Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Dao, Hassan |
| author_facet | Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Dao, Hassan |
| author_sort | Sulong, Amart |
| building | IIUM Repository |
| collection | Online Access |
| description | The speech enhancement algorithms are utilized to overcome multiple limitation factors in recent applications such as mobile phone and communication channel. The challenges focus on corrupted speech solution between noise reduction and signal distortion. We used a modified Wiener filter and compressive sensing (CS) to investigate and evaluate the improvement of speech quality. This new method adapted noise estimation and Wiener filter gain function in which to increase weight amplitude spectrum and improve mitigation of interested signals. The CS is then applied using the gradient projection for sparse reconstruction (GPSR) technique as a study system to empirically investigate the interactive effects of the corrupted noise and obtain better perceptual improvement aspects to listener fatigue with noiseless reduction conditions. The proposed algorithm shows an enhancement in testing performance evaluation of objective assessment tests outperform compared to other conventional algorithms at various noise type conditions of 0, 5, 10, 15 dB SNRs. Therefore, the proposed algorithm significantly achieved the speech quality improvement and efficiently obtained higher performance resulting in better noise reduction compare to other conventional algorithms. |
| first_indexed | 2025-11-14T16:46:03Z |
| format | Article |
| id | iium-57755 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:46:03Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-577552017-12-04T07:27:33Z http://irep.iium.edu.my/57755/ Single channel speech enhancement using Wiener filter and compressive sensing Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Dao, Hassan TK Electrical engineering. Electronics Nuclear engineering The speech enhancement algorithms are utilized to overcome multiple limitation factors in recent applications such as mobile phone and communication channel. The challenges focus on corrupted speech solution between noise reduction and signal distortion. We used a modified Wiener filter and compressive sensing (CS) to investigate and evaluate the improvement of speech quality. This new method adapted noise estimation and Wiener filter gain function in which to increase weight amplitude spectrum and improve mitigation of interested signals. The CS is then applied using the gradient projection for sparse reconstruction (GPSR) technique as a study system to empirically investigate the interactive effects of the corrupted noise and obtain better perceptual improvement aspects to listener fatigue with noiseless reduction conditions. The proposed algorithm shows an enhancement in testing performance evaluation of objective assessment tests outperform compared to other conventional algorithms at various noise type conditions of 0, 5, 10, 15 dB SNRs. Therefore, the proposed algorithm significantly achieved the speech quality improvement and efficiently obtained higher performance resulting in better noise reduction compare to other conventional algorithms. Institute of Advanced Engineering and Science 2017-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/57755/1/AmartSpeechEnhancement_7733-8387-1-Published.pdf application/pdf en http://irep.iium.edu.my/57755/7/57755_Single%20channel%20speech%20enhancement_scopus.pdf Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Kartiwi, Mira and Dao, Hassan (2017) Single channel speech enhancement using Wiener filter and compressive sensing. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1941-1951. ISSN 2088-8708 http://iaesjournal.com/en/index.php/IJECE/article/view/14117 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Dao, Hassan Single channel speech enhancement using Wiener filter and compressive sensing |
| title | Single channel speech enhancement using Wiener filter and compressive sensing |
| title_full | Single channel speech enhancement using Wiener filter and compressive sensing |
| title_fullStr | Single channel speech enhancement using Wiener filter and compressive sensing |
| title_full_unstemmed | Single channel speech enhancement using Wiener filter and compressive sensing |
| title_short | Single channel speech enhancement using Wiener filter and compressive sensing |
| title_sort | single channel speech enhancement using wiener filter and compressive sensing |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/57755/ http://irep.iium.edu.my/57755/ http://irep.iium.edu.my/57755/1/AmartSpeechEnhancement_7733-8387-1-Published.pdf http://irep.iium.edu.my/57755/7/57755_Single%20channel%20speech%20enhancement_scopus.pdf |