Classification of Classic Turkish Music Makams by Using Deep Belief Networks

被引：0
|
作者：
Kizrak, Merve Ayyuce [1 ]
Bolat, Bulent [2 ]
机构：
[1] Halic Univ, Elekt & Elekt Muhendisligi Bolumu, Istanbul, Turkey
[2] Yildiz Tekn Univ, Elekt & Haberlesme Muhendisligi Bolumu, Istanbul, Turkey
来源：
2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年
关键词：
Music Information Retrieval; Classic Turkish Music; Mel Frequency Cepstral Coefficients; Deep Belief Networks;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：527 / 530
页数：4
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