Data mining applied to music style classification

被引:0
|
作者
Nie Y.-B. [1 ]
机构
[1] College of Music, Nanyang Institute of Technology, Nanyang
来源
International Journal of Simulation: Systems, Science and Technology | 2016年 / 17卷 / 02期
关键词
Association Rule; Data Mining; Mining Algorithm; Music Style Classification;
D O I
10.5013/IJSSST.a.17.02.19
中图分类号
学科分类号
摘要
With the increasing growth of online music resources, the development of popular music information retrieval research, and automatic music style classification has become an important field of music information retrieval. Music style represents a music creator's personality, audience preferences for different musical styles also vary, it is difficult to find a particular style of music for all the public alike. In this era of online music, music style classification method based on computer technology is a promising field of research. In this paper, based on knowledge of music theory, from the perspective of data mining technology proposed classification method style of music files, the style of music in the original classification of information as a basis for harmony and melody style classification, the use of data Mining technology for music from the bottom up, segmentation, stratification style classification, and other classifications related test methods were analyzed and compared to give a more satisfactory test results. © 2016 UK Simulation Society. All rights reserved.
引用
收藏
页码:19.1 / 19.6
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