Survey and Typology of Computer-Assisted Composition Systems
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.
Authors
- Renaud Bougueng Tchemeube (ORCID: https://orcid.org/0000-0001-8337-489X)
- Philippe Pasquier (ORCID: https://orcid.org/0000-0001-8675-3561)
Institutions
- Simon Fraser University (CA)
Publication Details
- Journal
- ACM Computing Surveys
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1145/3812539
- Primary Topic
- Music Technology and Sound Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00