A Functional Taxonomy of Music Generation Systems

被引：86

作者：

Herremans, Dorien ^{[1
,2
,3
]}

Chuan, Ching-Hua ^{[4
]}

Chew, Elaine ^{[3
]}

机构：

[1] Singapore Univ Technol & Design, Informat Syst Technol & Design Pillar, 8 Somapah Rd,1-502-18, Singapore 487372, Singapore

[2] ASTAR, Inst High Performance Comp, 1 Fusionopolis Way,16-16 Connexis, Singapore 138632, Singapore

[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, Mile End Rd, London E1 NS4, England

[4] Univ North Florida, Sch Comp, 1 UNF Dr, Jacksonville, FL 32224 USA

来源：

ACM COMPUTING SURVEYS | 2017年 / 50卷 / 05期

基金：

欧盟地平线“2020”;

关键词：

Music generation; taxonomy; functional survey; survey; automatic composition; algorithmic composition; SPECIES COUNTERPOINT; NEIGHBORHOOD; MODEL;

D O I：

10.1145/3108242

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：30

共 165 条

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