Using data mining for makam recognition in Turkish traditional art music; [Klasik Törk möziǧinde makam tanima için veri madenciliǧi kullanimi]

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dc.contributor.authorAbidin D.
dc.contributor.authorÖztörk Ö.
dc.contributor.authorÖztörk T.O.
dc.date.accessioned2024-07-22T08:11:08Z
dc.date.available2024-07-22T08:11:08Z
dc.date.issued2017
dc.description.abstractComputer science has become a popular reseach topic in musicology with the transfer of musical works to digital media. Musical works are used as data in scientific researches and the computational music field is developing rapidly with the work done in this area. Representing Western musical works in symbolic form is easier than Turkish musical works and as a result most of the studies in this area focus on Western Music. However, in the last few years there are some interesting studies on using data mining, machine learning and classification techniques on Turkish maqam system. This study represents an experimental work that uses machine learning to recognize the maqams of the 1261 Turkish musical works. These musical works are assumed to be obtained by note recognition from audio files. We developed a software for using the data in MusicXML format with machine learning. This software also adds four different derived variables to the original data set in order to incerase the performance of the machine learning process. As a result of the study, we observed the perfomance of the "Random Forest" algorithm as 89.7%.
dc.identifier.DOI-ID10.17341/gazimmfd.369557
dc.identifier.issn13001884
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/15530
dc.language.isoTurkish
dc.publisherGazi Universitesi Muhendislik-Mimarlik
dc.rightsAll Open Access; Bronze Open Access
dc.subjectAudio acoustics
dc.subjectDecision trees
dc.subjectDigital storage
dc.subjectLearning systems
dc.subjectMachine learning
dc.subjectAudio files
dc.subjectClassification technique
dc.subjectMakam recognition
dc.subjectPerfomance
dc.subjectRandom forests
dc.subjectScientific researches
dc.subjectSequence mining
dc.subjectWEKA
dc.subjectData mining
dc.titleUsing data mining for makam recognition in Turkish traditional art music; [Klasik Törk möziǧinde makam tanima için veri madenciliǧi kullanimi]
dc.typeArticle

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