A Functional Taxonomy of Music Generation Systems
Author:
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
Funder
EU
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Link
https://dl.acm.org/doi/pdf/10.1145/3108242
Reference165 articles.
1. K. Agres J. Forth and G. A. Wiggins. 2017. Evaluation of musical creativity and musical metacreation systems. Comput. Entertain. 14 3 Article 3 (Jan. 2017) 33 pages. K. Agres J. Forth and G. A. Wiggins. 2017. Evaluation of musical creativity and musical metacreation systems. Comput. Entertain. 14 3 Article 3 (Jan. 2017) 33 pages.
2. Harmonic structure predicts the enjoyment of uplifting trance music;Agres K.;Frontiers Psychol.,2016
3. Automated generation of contrapuntal musical compositions using probabilistic logic in Derive
4. Harmonising chorales by probabilistic inference;Allan M.;Adv. Neural Info. Process. Syst.,2005
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