A Functional Taxonomy of Music Generation Systems

Author:

Herremans Dorien1ORCID,Chuan Ching-Hua2,Chew Elaine3

Affiliation:

1. Singapore University of Technology and Design, Agency for Science Technology and Research (A*STAR) 8 Queen Mary University of London

2. University of North Florida, Jacksonville, FL, US

3. Queen Mary University of London, UK

Abstract

Digital advances have transformed the face of automatic music generation since its beginnings at the dawn of computing. Despite the many breakthroughs, issues such as the musical tasks targeted by different machines and the degree to which they succeed remain open questions. We present a functional taxonomy for music generation systems with reference to existing systems. The taxonomy organizes systems according to the purposes for which they were designed. It also reveals the inter-relatedness amongst the systems. This design-centered approach contrasts with predominant methods-based surveys and facilitates the identification of grand challenges to set the stage for new breakthroughs.

Funder

EU

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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