Research on Music Classification Method Based on Artificial Intelligence

doi:10.1007/978-981-19-4132-0_85

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	Research on Music Classification Method Based on Artificial Intelligence
	Sun, Ming-Xia
	2022
会议名称	5th International Conference on Innovative Computing, IC 2022
会议录名称	Lecture Notes in Electrical Engineering
卷号	935 LNEE
页码	673-678
会议日期	January 19, 2022 - January 21, 2022
会议地点	Guam, GU, United states
会议录编者/会议主办者	Springer Science and Business Media Deutschland GmbH
出版者	Springer Science and Business Media Deutschland GmbH
摘要	With the development of artificial intelligence and the continuous growth of music resources, music information retrieval system used to process music database has attracted more and more attention. Music retrieval based on semantic level information such as genre and emotion has become an important research direction. Automatic music classification is the basis of semantic level music retrieval, and the current automatic music classification is mostly based on some classification standards, rarely considering the classification needs of users. Selecting music features in automatic music classification can filter out irrelevant and redundant features, and then improve the performance of the classifier. Because different classification standards and feature selection methods produce different feature subsets, feature selection methods and classification methods should be selected according to actual needs. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
关键词	Classification (of information) Feature Selection Search engines Semantics Classification methods Classification standard Feature selection methods Genre classification Information-retrieval systems Music classification Music database Music information retrieval Music retrieval Semantic levels
DOI	10.1007/978-981-19-4132-0_85
收录类别	EI
语种	英语
EI入藏号	20224613108172
EI主题词	Music
EI分类号	716.1 Information Theory and Signal Processing - 723 Computer Software, Data Handling and Applications - 903.1 Information Sources and Analysis - 971 Social Sciences
原始文献类型	Conference article (CA)
EISSN	1876-1119
ISSN	1876-1100
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.nwnu.edu.cn/handle/39RV6HYL/80716
专题	实体学院_音乐学院实体学院_音乐学院_器乐系
通讯作者	Sun, Ming-Xia
作者单位	Department of Traditional Instruments, Conservatory of Music, Northwest Normal University, Gansu, Lanzhou; 730000, China
第一作者单位	器乐系
通讯作者单位	器乐系
第一作者的第一单位	器乐系
推荐引用方式 GB/T 7714	Sun, Ming-Xia. Research on Music Classification Method Based on Artificial Intelligence[C]//Springer Science and Business Media Deutschland GmbH:Springer Science and Business Media Deutschland GmbH,2022:673-678.