dc.contributor.author | Duzenli, T. | |
dc.contributor.author | Ozkurt, N. | |
dc.date.accessioned | 2021-01-25T20:51:25Z | |
dc.date.available | 2021-01-25T20:51:25Z | |
dc.date.issued | 2011 | |
dc.identifier.issn | 13030914 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859223731&partnerID=40&md5=95e946472932e32baa9db7344df743de | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10640 | |
dc.description.abstract | The speech/music discrimination systems have gaining importance in several intelligent audio retrieval algorithms due to the increasing size of the multimedia sources in our daily lives. This study aims to propose a speech/music discrimination system whic | |
dc.language.iso | English | |
dc.publisher | Istanbul University - Journal of Electrical and Electronics Engineering | |
dc.title | Comparison of wavelet based feature extraction methods for speech/music discrimination | |
dc.type | Review | |
dc.relation.firstpage | 1355 | |
dc.relation.lastpage | 1362 | |
dc.relation.volume | 11 | |
dc.relation.issue | 1 | |
dc.description.affiliations | Dokuz Eylul University, Graduate School of Natural and Applied Sciences, Izmir, Turkey; Izmir University of Economics, Department of Electronics and Telecommunications Engineering, Faculty of Engineering and Computer Sciences, 35330, Balçova, Izmir, Turke | |