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电子学报  2008 

中国民歌地域风格分类中的特征选择

, PP. 152-156

Keywords: 音乐信息检索,音乐数据挖掘,音乐风格分类,特征选择

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Abstract:

歌曲风格的自动分类技术研究,是音乐信息检索领域中一个重要课题.本文主要讨论了对中国民歌地域风格自动分类中不同特征选择方法对于分类性能的影响.论文选用10个不同地域的1392首原生态中国民歌,进行了地域风格的分类实验.实验结果表明:在多种分类器的试验中,SVM分类器的分类准确率最高;在多种特征选择实验中使用SVM与ActiveFeatureSelection的特征选择方法的分类准确率最高,为83%,且选择出的有效特征参数从74维降为35维,更便于进行参数分析.

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