TY - GEN
T1 - Classification of classic Turkish music makams
AU - Kizrak, M. Ayyüce
AU - Bayram, K. Sercan
AU - Bolat, Bülent
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Mel Frequency Cepstral Coefficients (MFCC)
KW - Probabilistic Neural Network (PNN)
KW - musical information retrieval
UR - http://www.scopus.com/inward/record.url?scp=84906696343&partnerID=8YFLogxK
U2 - 10.1109/INISTA.2014.6873650
DO - 10.1109/INISTA.2014.6873650
M3 - Conference contribution
AN - SCOPUS:84906696343
SN - 9781479930197
T3 - INISTA 2014 - IEEE International Symposium on Innovations in Intelligent Systems and Applications, Proceedings
SP - 394
EP - 397
BT - INISTA 2014 - IEEE International Symposium on Innovations in Intelligent Systems and Applications, Proceedings
PB - IEEE Computer Society
T2 - 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2014
Y2 - 23 June 2014 through 25 June 2014
ER -