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Affective evolutionary music composition with MetaCompose
journal contribution
posted on 2017-12-01, 00:00 authored by M Scirea, J Togelius, Peter EklundPeter Eklund, S RisiThis paper describes the MetaCompose music generator, a compositional, extensible framework for affective music composition. In this context ‘affective’ refers to the music generator’s ability to express emotional information. The main purpose of MetaCompose is to create music in real-time that can express different mood-states, which we achieve through a unique combination of a graph traversal-based chord sequence generator, a search-based melody generator, a pattern-based accompaniment generator, and a theory for mood expression. Melody generation uses a novel evolutionary technique combining FI-2POP with multi-objective optimization. This allows us to explore a Pareto front of diverse solutions that are creatively equivalent under the terms of a multi-criteria objective function. Two quantitative user studies were performed to evaluate the system: one focusing on the music generation technique, and the other that explores valence expression, via the introduction of dissonances. The results of these studies demonstrate (i) that each part of the generation system improves the perceived quality of the music produced, and (ii) how valence expression via dissonance produces the perceived affective state. This system, which can reliably generate affect-expressive music, can subsequently be integrated in any kind of interactive application (e.g., games) to create an adaptive and dynamic soundtrack.
History
Journal
Genetic programming and evolvable machinesVolume
18Issue
4Pagination
433 - 465Publisher
SpringerLocation
New York, N.Y.Publisher DOI
ISSN
1389-2576Language
engPublication classification
C Journal article; C1.1 Refereed article in a scholarly journalCopyright notice
2017, Springer Science+Business Media, LLCUsage metrics
Keywords
evolutionary computinggenetic algorithmmusic generationaffective musiccreative computingScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Theory & MethodsComputer ScienceCONSTRAINED MULTIOBJECTIVE OPTIMIZATIONCIRCUMPLEX MODELBASIC EMOTIONSMOODPITCHALGORITHMSTEMPOArtificial Intelligence and Image Processing
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