Survey and Typology of Computer-Assisted Composition Systems

IF 28 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2026-04-27 DOI:10.1145/3812539

Renaud Bougueng Tchemeube, Philippe Pasquier

引用次数: 0

Abstract

Computer music is experiencing a rapid change as artificial intelligence (AI) integrates into composers’ musical practice at all levels. We contribute a survey of the field of Computer-Assisted Composition (CAC) since its inception, spanning 62 years of research (1963-2025). In total, we collect 125 CAC systems and contribute a typology that categorizes them. The typology classifies 1) the metadata about the system, 2) the music composition problem (task and scope), 3) the computing architecture, 4) the human-machine interaction, and 5) the ecosystemic context. Finally, we analyze historical trends, discuss implications, challenges and opportunities from our work, and report on the state of CAC communities.

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计算机辅助作曲系统的调查与类型学

随着人工智能（AI）融入作曲家的各个层面的音乐实践，计算机音乐正在经历一场快速的变革。我们对计算机辅助作文（CAC）领域自成立以来的62年研究（1963-2025）进行了调查。我们总共收集了125个CAC系统，并提供了一个对它们进行分类的类型学。该类型学分类1)关于系统的元数据，2)音乐作曲问题（任务和范围），3)计算架构，4)人机交互，以及5)生态系统上下文。最后，我们分析了历史趋势，讨论了我们工作的影响、挑战和机遇，并报告了CAC社区的现状。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.