基于数据挖掘技术的智能舞曲伴奏系统

Hongyu Liu
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摘要

随着计算机、网络技术、人工智能等相关领域的飞速发展,音乐已经成为现代社会人们日常生活中不可缺少的一部分。目前,基于数据挖掘的智能舞蹈伴奏系统的分析与研究已经取得了一定的进展。本文以某高校舞蹈专业为例,对该高校舞蹈专业进行了深入的探索。通过数据挖掘和神经网络方法构建高效、安全、可靠的辅助教学系统,并采用问卷调查法对教师和学生的满意度进行调查。最后,调查结果显示,这一阶段舞蹈的音乐伴奏系统是满意的,约占75%,不满意的占1%-4%。根据调查结果,本文对现阶段舞蹈音乐伴奏的创新提出了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Dance Music Accompaniment System Based on Data Mining Technology
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.
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