Yayın:
Classification of Classic Turkish Music Makams by Using Deep Belief Networks

Basit öğe sayfası
dc.contributor.authorSagun, Merve Ayyuce Kizrak
dc.contributor.authorBolat, Bulent
dc.date.accessioned2026-06-27T13:53:02Z
dc.date.issued2016
dc.description.abstractAutomatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.en
dc.identifier.isbn978-1-4673-9910-4
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55267
dc.identifier.wos000386824000031
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferenceInternational Symposium on Innovations in Intelligent Systems and Applications (INISTA)
dc.relation.ispartofPROCEEDINGS OF THE 2016 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA)
dc.subjectClassic Turkish Music Makams
dc.subjectMel-Frequency Cepstrum Coefficients
dc.subjectDeep Belief Networks
dc.subjectRadial Basis Function Network
dc.subjectGeneralized Regression Neural Network
dc.subjectProbabilistic Neural Network
dc.subjectSupport Vector Machine
dc.subjectComputer Science
dc.titleClassification of Classic Turkish Music Makams by Using Deep Belief Networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar

Yayınlar