摘要
自计算机作曲出现便受到广泛的关注,随着人工智能技术的发展,越来越多的算法被应用于计算机作曲。情感是音乐的高维度特征,与音乐的本质内涵密切相关,研究情感与音乐的关系有助于提升作曲质量。就情感音乐的生成问题,首先对国内外的研究进行了总结;然后依次对音乐情感模型、音乐特征、音乐情感分类方法、情感音乐生成方法进行了研究,分析其优缺点,提出改良方法,最后进行总结归纳,并提出建议。
Computer composition has received extensive attention since its emergence.With the development of artificial intelligence technology,more and more algorithms have been applied to computer composition.Emotion is the a high-dimensional feature of music,which and is closely related to the essence of music.Studying the relationship between emotion and music helps to improve the quality of composition.This paper focuses on the generation of emotional music,f.Firstly,it summarizes reviews the research at home and abroad,and then studies the music emotion model,music features,music emotion classification method and emotional music generation method,analyzes its advantages and disadvantages,and proposes an improved method.At the end of this paper,the research is summarized and suggestion is proposed.
作者
焦剑
汪镭
康琦
JIAO Jian;WANG Lei;KANG Qi(College of Electronics and Information Engineering,Tongji University,Shanghai 201804)
出处
《微型电脑应用》
2019年第2期52-55,共4页
Microcomputer Applications
关键词
情感音乐生成
音乐情感分类
音乐生成
计算机作曲
Emotional music generation
Musical emotion classification
Music generation
Computer composition