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dc.contributor.authorIñesta, José M.
dc.contributor.authorPonce de León, Pedro J.
dc.contributor.authorRizo, David
dc.date.accessioned2021-06-02T10:02:53Z
dc.date.available2021-06-02T10:02:53Z
dc.date.issued2008
dc.identifierONIX_20210602_10.5772/6259_2
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/48887
dc.description.abstractIn the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR) applications. Two challenging tasks in this area are the automatic recognition of musical genre and melody extraction, having a number of applications like indexing and selecting musical databases. One of the main references for music is its melody.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::M Medicine::MN Surgery::MNS Orthopaedics & fractures
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MN Surgery::MNS Surgical orthopaedics and fracturesen_US
dc.subject.otherMusic
dc.subject.otherpattern recognition
dc.titleChapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition
dc.typechapter
oapen.identifier.doi10.5772/6259
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByFP7-ICT-2007-1
oapen.grant.number216886
oapen.grant.acronymPASCAL2


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