Discrete and dual tree wavelet features for real-time speech/music discrimination

dc.contributor.author	Duzenli, T.
dc.contributor.author	Ozkurt, N.
dc.date.accessioned	2021-01-25T20:51:23Z
dc.date.available	2021-01-25T20:51:23Z
dc.date.issued	2011
dc.identifier	10.5402/2011/269361
dc.identifier.issn	20905041
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050790402&doi=10.5402%2f2011%2f269361&partnerID=40&md5=e5abd85e00dbf493660aa4094209657c
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10635
dc.description.abstract	The performance of wavelet transform-based features for the speech/music discrimination task has been investigated. In order to extract wavelet domain features, discrete and complex orthogonal wavelet transforms have been used. The performance of the prop
dc.language.iso	English
dc.publisher	ISRN Signal Processing
dc.title	Discrete and dual tree wavelet features for real-time speech/music discrimination
dc.type	Article
dc.relation.volume	2011
dc.relation.issue	1
dc.description.affiliations	Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Buca, Ilzmir, 35160, Turkey; Department of Electronics and Telecommunications Engineering, Izmir University of Economics, Balçova, Izmir, 35330, Turkey; Department of Electrical and

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