Klasik Türk Müziʇi Makamlarinin Derin Anlama Aʇlari ile Siniflandirilmasi

Translated title of the contribution: Classification of Classic Turkish Music Makams by using Deep Belief Networks

Merve Ayyuce Kizrak, Bulent Bolat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Through this work, six most known Classic Turkish Music Makams (CTM) were classified by using Deep Belief Networks (DBN). The Mel and delta-Mel Frequency Cepstral Coefficients (MFCC) were used as features. The best correct recognition ratio was obtained as 92.70% by using Deep Belief Networks and Mel frequency epstral coefficients. This result is better than the recent works reported in the literature.

Translated title of the contributionClassification of Classic Turkish Music Makams by using Deep Belief Networks
Original languageTurkish
Title of host publication2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages527-530
Number of pages4
ISBN (Electronic)9781467373869
DOIs
Publication statusPublished - 19 Jun 2015
Externally publishedYes
Event2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey
Duration: 16 May 201519 May 2015

Publication series

Name2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/TerritoryTurkey
CityMalatya
Period16/05/1519/05/15

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