Adaptive cancellation of localised environmental noise
Noise cancellation systems are useful in applications such as speech and speaker recognition systems where the effects of environmental noise have to be taken into considerations. A robust method for the cancellation of localised noise in noisy speech signals using subband decomposition and adaptive...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2018
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| Online Access: | http://journalarticle.ukm.my/13793/ http://journalarticle.ukm.my/13793/1/7.pdf |
| _version_ | 1848813376543653888 |
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| author | Abid Noor, Ali O. Al-Hussaini, Imad H.M. Salina Abdul Samad, |
| author_facet | Abid Noor, Ali O. Al-Hussaini, Imad H.M. Salina Abdul Samad, |
| author_sort | Abid Noor, Ali O. |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Noise cancellation systems are useful in applications such as speech and speaker recognition systems where the effects of environmental noise have to be taken into considerations. A robust method for the cancellation of localised noise in noisy speech signals using subband decomposition and adaptive filtering is presented and described in this paper. The subband decomposition technique is based on low complexity octave filters that split the noisy speech input into subsidiary bands. A thresholding technique is then applied to the subbands to determine the presence or absence of environmental noise. This is used to control an adaptive filter which only responds to the noisy parts of the speech spectrum hence localising the adaptation process only on these segments. The Normalised Least Mean Squares algorithm (NLMS) is used for the adaptation process. A comparison with a similar system without localising the environmental noise shows the superior performance of the proposed system. It has been shown to perform better in terms of computational costs and convergence rate when compared to a system that does not take advantage of the information regarding the presence or absence of noise in a specific part of the speech spectrum. More than 35 dB of noise has been eliminated in less iterations than in conventional approach which needs longer time to reach steady state. |
| first_indexed | 2025-11-15T00:17:12Z |
| format | Article |
| id | oai:generic.eprints.org:13793 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:17:12Z |
| publishDate | 2018 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:137932019-12-19T23:47:25Z http://journalarticle.ukm.my/13793/ Adaptive cancellation of localised environmental noise Abid Noor, Ali O. Al-Hussaini, Imad H.M. Salina Abdul Samad, Noise cancellation systems are useful in applications such as speech and speaker recognition systems where the effects of environmental noise have to be taken into considerations. A robust method for the cancellation of localised noise in noisy speech signals using subband decomposition and adaptive filtering is presented and described in this paper. The subband decomposition technique is based on low complexity octave filters that split the noisy speech input into subsidiary bands. A thresholding technique is then applied to the subbands to determine the presence or absence of environmental noise. This is used to control an adaptive filter which only responds to the noisy parts of the speech spectrum hence localising the adaptation process only on these segments. The Normalised Least Mean Squares algorithm (NLMS) is used for the adaptation process. A comparison with a similar system without localising the environmental noise shows the superior performance of the proposed system. It has been shown to perform better in terms of computational costs and convergence rate when compared to a system that does not take advantage of the information regarding the presence or absence of noise in a specific part of the speech spectrum. More than 35 dB of noise has been eliminated in less iterations than in conventional approach which needs longer time to reach steady state. Penerbit Universiti Kebangsaan Malaysia 2018-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13793/1/7.pdf Abid Noor, Ali O. and Al-Hussaini, Imad H.M. and Salina Abdul Samad, (2018) Adaptive cancellation of localised environmental noise. Jurnal Kejuruteraan, 30 (2). pp. 179-186. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-302-2018/ |
| spellingShingle | Abid Noor, Ali O. Al-Hussaini, Imad H.M. Salina Abdul Samad, Adaptive cancellation of localised environmental noise |
| title | Adaptive cancellation of localised environmental noise |
| title_full | Adaptive cancellation of localised environmental noise |
| title_fullStr | Adaptive cancellation of localised environmental noise |
| title_full_unstemmed | Adaptive cancellation of localised environmental noise |
| title_short | Adaptive cancellation of localised environmental noise |
| title_sort | adaptive cancellation of localised environmental noise |
| url | http://journalarticle.ukm.my/13793/ http://journalarticle.ukm.my/13793/ http://journalarticle.ukm.my/13793/1/7.pdf |