Title
Corpus-taught Evolutionary Music Composition
Paper 134 Details
Authors
Presentation Schedule
- Talk Time: 12:10
- Date: Thursday 23 July
- Session: Learning and Evolutionary Software Systems RCH/250 Thursday 23 July 11:20
Full Paper Download
Download via this paper's page on the MIT Press ECAL 2015 Proceedings website.
Abstract
In this paper we present a music composition system that uses a corpus-based multi-objective evolutionary algorithm. We model the composition process using a Turing-complete virtual register machine to render musical models. These are evaluated using a series of fitness tests, which judge the statistical similarity of the model against a corpus of real music. We demonstrate that the methodology succeeds in creating pieces of music that converge towards the properties of the chosen corpus. These pieces exhibit certain musical qualities (repetition and variation) not specifically targeted by our fitness tests; they emerge solely based on the similarities.
