Classification of Classic Turkish Music Makams


Kizrak M. A. , Bayram K. S. , BOLAT B.

IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Alberobello, İtalya, 23 - 25 Haziran 2014, ss.394-397 identifier identifier

  • Doi Numarası: 10.1109/inista.2014.6873650
  • Basıldığı Şehir: Alberobello
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.394-397

Özet

In this work, Classical Turkish Music songs are classified into six makams. Makam is a modal framework for melodic development in Classical Turkish Music. The effect of the sound clip length on the system performance was also evaluated. The Mel Frequency Cepstral Coefficients (MFCC) were used as features. Obtained data were classified by using Probabilistic Neural Network. The best correct recognition ratio was obtained as 89,4% by using a clip length of 6 s.