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DESIGN OF OPTIMAL WAVELETS FOR DETECTING IMPULSE NOISE IN SPEECH

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dc.contributor.author Nongpiur, R. C.
dc.contributor.author Shpak, D. J.
dc.contributor.author Agathoklis, P.
dc.date.accessioned 2014-10-21T17:05:19Z
dc.date.available 2014-10-21T17:05:19Z
dc.date.copyright 2013 en_US
dc.date.issued 2014-04
dc.identifier.citation R. C. Nongpiur, D. J. Shpak, and P. Agathoklis, "Design of optimal wavelets for detecting impulse noise in speech,” 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), Florence, Italy. en_US
dc.identifier.uri http://hdl.handle.net/1828/5708
dc.description.abstract Removal of impulse noise from speech in the wavelet domain has been found to be very effective due to the multi-resolution property of the wavelet transform and the ease of removing the impulses in that domain. A critical factor that affects the performance of the impulse-removal system is the effectiveness of the impulse detection algorithm. To this end, we propose a new method for designing orthogonal wavelets that are optimized for detecting impulse noise in speech. In the method, the characteristics of the impulse noise and the underlying speech signal are taken into account and a convex optimization problem is formulated for deriving the optimal wavelet for a given support size. Performance comparison with other well known wavelets show that the wavelets designed using the proposed method have much better impulse detection properties. en_US
dc.description.sponsorship NSERC en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014) en_US
dc.subject impulsive noise detection en_US
dc.subject wavelet design en_US
dc.subject speech enhancement en_US
dc.title DESIGN OF OPTIMAL WAVELETS FOR DETECTING IMPULSE NOISE IN SPEECH en_US
dc.type Preprint en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US


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