Title :
Classification of Classic Turkish Music Makams by using Deep Belief Networks
Author :
Kizrak, Merve Ayyuce ; Bolat, Bulent
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Halic Univ., İstanbul, Turkey
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.
Keywords :
belief networks; cepstral analysis; music; pattern classification; CTM; DBN; MFCC; classic Turkish music Makams classification; deep belief networks; delta-Mel frequency cepstral coefficients; recognition ratio; Conferences; Histograms; Mel frequency cepstral coefficient; Multiple signal classification; Signal processing; Speech; Classic Turkish Music; Deep Belief Networks; Mel Frequency Cepstral Coefficients; Music Information Retrieval;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129877
