DocumentCode
1778132
Title
Classification of Classic Turkish Music Makams
Author
Kizrak, M. Ayyuce ; Bayram, K. Sercan ; Bolat, B.
Author_Institution
Electr. & Electron. Eng. Dept., Halic Univ., Istanbul, Turkey
fYear
2014
fDate
23-25 June 2014
Firstpage
394
Lastpage
397
Abstract
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.
Keywords
acoustic signal processing; feature extraction; music; neural nets; Classic Turkish Music Makams; Classical Turkish Music; MFCC; Mel frequency cepstral coefficients; melodic development; probabilistic neural network; recognition ratio; songs classification; sound clip length; Accuracy; Filter banks; Instruments; Mel frequency cepstral coefficient; Music; Neural networks; Probabilistic logic; Mel Frequency Cepstral Coefficients (MFCC); Probabilistic Neural Network (PNN); musical information retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location
Alberobello
Print_ISBN
978-1-4799-3019-7
Type
conf
DOI
10.1109/INISTA.2014.6873650
Filename
6873650
Link To Document