Research on Music Education Method Based on Voice Recognition Algorithm

doi:10.1007/978-981-19-4132-0_94

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	Research on Music Education Method Based on Voice Recognition Algorithm
	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	734-740
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	Today’s society pays more and more attention to the quality education and all-round development of talents. Music education, as an important discipline for the all-round development of talents, has also been paid more and more attention. In music teaching, teachers should deeply explore the new curriculum standards, combine them with students’ interests, carry out music innovation education and practice, and constantly improve students’ various innovation abilities, so as to make music teaching more valuable and meaningful. This paper studies and discusses the methods of music education based on voice recognition algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
关键词	Curricula Students Curriculum standards Education methods Innovation abilities Innovative thinking Music education Quality education Recognition algorithm Students' interests Teachers' Voice recognition algorithm
DOI	10.1007/978-981-19-4132-0_94
收录类别	EI
语种	英语
EI入藏号	20224613108182
EI主题词	Speech recognition
EI分类号	751.5 Speech - 901.2 Education
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/80708
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, Northwest Normal University, Conservatory of Music, 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 Education Method Based on Voice Recognition Algorithm[C]//Springer Science and Business Media Deutschland GmbH:Springer Science and Business Media Deutschland GmbH,2022:734-740.