{"title":"Intelligent Dance Music Accompaniment System Based on Data Mining Technology","authors":"Hongyu Liu","doi":"10.1145/3510858.3510970","DOIUrl":null,"url":null,"abstract":"With the rapid development of computer, network technology, artificial intelligence and other related fields, music has become an indispensable part of people's daily life in modern society. At present, some progress has been made in the analysis and research of intelligent dance accompaniment system based on data mining. Taking the dance major of a university as an example, this paper makes an in-depth exploration of the University. Through data mining and neural network methods to build an efficient, safe and reliable auxiliary teaching system, and use the questionnaire survey method to investigate the satisfaction of teachers and students. Finally, the survey results show that the music accompaniment system for dance at this stage is satisfactory, accounting for about 75%, and 1%-4% is not satisfactory. According to the survey results, this paper puts forward some suggestions on the innovation of dance music accompaniment at the present stage.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3510858.3510970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of computer, network technology, artificial intelligence and other related fields, music has become an indispensable part of people's daily life in modern society. At present, some progress has been made in the analysis and research of intelligent dance accompaniment system based on data mining. Taking the dance major of a university as an example, this paper makes an in-depth exploration of the University. Through data mining and neural network methods to build an efficient, safe and reliable auxiliary teaching system, and use the questionnaire survey method to investigate the satisfaction of teachers and students. Finally, the survey results show that the music accompaniment system for dance at this stage is satisfactory, accounting for about 75%, and 1%-4% is not satisfactory. According to the survey results, this paper puts forward some suggestions on the innovation of dance music accompaniment at the present stage.