土耳其古典音乐Makams的分类

2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI:10.1109/INISTA.2014.6873650

M. A. Kizrak, K. Bayram, B. Bolat

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引用次数: 9

摘要

在这部作品中，古典土耳其音乐歌曲被分为六个makam。Makam是古典土耳其音乐中旋律发展的模态框架。还评估了声音片段长度对系统性能的影响。用Mel频率倒谱系数(MFCC)作为特征。利用概率神经网络对得到的数据进行分类。当片段长度为6 s时，最佳识别率为89.4%。

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Classification of Classic Turkish Music Makams

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.

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2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings

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