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dc.contributor.authorHolzapfel, André
dc.contributor.authorStylianou, Yannis
dc.contributor.authorGedik, Ali Cenk
dc.contributor.authorBozkurt, Barış
dc.date.accessioned2016-12-26T13:58:28Z
dc.date.available2016-12-26T13:58:28Z
dc.date.issued2010
dc.identifier.citationHolzapfel, A., Stylianou, Y., Gedik, A. C., and Bozkurt, B. (2010). Three dimensions of pitched instrument onset detection. IEEE Transactions on Audio, Speech and Language Processing, 18(6), 1517-1527. doi:10.1109/TASL.2009.2036298en_US
dc.identifier.issn1558-7916
dc.identifier.urihttp://doi.org/10.1109/TASL.2009.2036298
dc.identifier.urihttp://hdl.handle.net/11147/2678
dc.description.abstractIn this paper, we suggest a novel group delay based method for the onset detection of pitched instruments. It is proposed to approach the problem of onset detection by examining three dimensions separately: phase (i.e., group delay), magnitude and pitch. The evaluation of the suggested onset detectors for phase, pitch and magnitude is performed using a new publicly available and fully onset annotated database of monophonic recordings which is balanced in terms of included instruments and onset samples per instrument, while it contains different performance styles. Results show that the accuracy of onset detection depends on the type of instruments as well as on the style of performance. Combining the information contained in the three dimensions by means of a fusion at decision level leads to an improvement of onset detection by about 8% in terms of F-measure, compared to the best single dimension. © 2010 IEEE.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/TASL.2009.2036298en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGroup delayen_US
dc.subjectAutomatic music transcriptionen_US
dc.subjectMusic information retrievalen_US
dc.subjectOnset detectionen_US
dc.titleThree dimensions of pitched instrument onset detectionen_US
dc.typearticleen_US
dc.contributor.authorIDTR106412en_US
dc.contributor.authorIDTR115225en_US
dc.contributor.institutionauthorGedik, Ali Cenk
dc.contributor.institutionauthorBozkurt, Barış
dc.relation.journalIEEE Transactions on Audio, Speech and Language Processingen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume18en_US
dc.identifier.issue6en_US
dc.identifier.startpage1517en_US
dc.identifier.endpage1527en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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