Classification of Classic Turkish Music Makams by Using Deep Belief Networks

被引：0
|
作者：
Sagun, Merve Ayyuce Kizrak [1 ]
Bolat, Bulent [1 ]
机构：
[1] Yildiz Tech Univ, Istanbul, Turkey
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) | 2016年
关键词：
Classic Turkish Music Makams; Mel-Frequency Cepstrum Coefficients; Deep Belief Networks; Radial Basis Function Network; Generalized Regression Neural Network; Probabilistic Neural Network; Support Vector Machine;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.
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页数：6
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