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dc.contributor.authorÖzbek, Mehmet Erdal
dc.contributor.authorDelpha, Claude
dc.contributor.authorDuhamel, Pierre
dc.date.accessioned2016-08-08T08:29:40Z
dc.date.available2016-08-08T08:29:40Z
dc.date.issued2007
dc.identifier.citationÖzbek, M. E., Delpha, C., and Duhamel, P. (2007). Musical note and instrument classification with likelihood-frequency-time analysis and support vector machines. Paper presented at the 15th European Signal Processing Conference, EUSIPCO 2007, Poznan, Poland, 3-7 September (pp.941-945). Piscataway, N.J.: IEEEen_US
dc.identifier.issn2219-5491
dc.identifier.urihttp://hdl.handle.net/11147/2062
dc.description15th European Signal Processing Conference, EUSIPCO 2007; Poznan; Poland; 3 September 2007 through 7 September 2007en_US
dc.description.abstractIn this paper, we analyze the classification performance of a likelihood-frequency-time (LiFT) analysis designed for partial tracking and automatic transcription of music using support vector machines. The LiFT analysis is based on constant-Q filtering of signals with a filter-bank designed to filter 24 quarter-tone frequencies of an octave. Using the LiFT information, features are extracted from the isolated note samples and classification of instruments and notes is performed with linear, polynomial and radial basis function kernels. Correct classification ratios are obtained for 19 instrument and 36 notes.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInstrumentsen_US
dc.subjectAutomatic transcriptionen_US
dc.subjectClassification performanceen_US
dc.subjectCorrect classification ratiosen_US
dc.subjectLift analysisen_US
dc.subjectSignal processingen_US
dc.titleMusical note and instrument classification with likelihood-frequency-time analysis and support vector machinesen_US
dc.typeconferenceObjecten_US
dc.contributor.authorIDTR107862en_US
dc.contributor.iztechauthorÖzbek, Mehmet Erdal
dc.relation.journal15th European Signal Processing Conference, EUSIPCO 2007en_US
dc.contributor.departmentIzmir Institute of Technology. Electronics and Communication Engineeringen_US
dc.identifier.startpage941en_US
dc.identifier.endpage945en_US
dc.identifier.scopusSCOPUS:2-s2.0-79953712402
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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