English

A Functional Taxonomy of Music Generation Systems

Sound 2018-12-12 v1 Machine Learning Audio and Speech Processing

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.

Keywords

Cite

@article{arxiv.1812.04186,
  title  = {A Functional Taxonomy of Music Generation Systems},
  author = {Dorien Herremans and Ching-Hua Chuan and Elaine Chew},
  journal= {arXiv preprint arXiv:1812.04186},
  year   = {2018}
}

Comments

survey, music generation, taxonomy, functional survey, survey, automatic composition, algorithmic composition