Classification of Classic Turkish Music Makams by Using Deep Belief Networks

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.