TY - JOUR
T1 - Affective evolutionary music composition with MetaCompose
AU - Scirea, Marco
AU - Togelius, Julian
AU - Eklund, Peter
AU - Risi, Sebastian
N1 - Funding Information:
This work was done under funding from the Sorption Systems Consortium (SSC), which included the following companies as members: Carrier Corp., Trane Co., York International, Wolverine Tube Co., FMC Corp., and Hitachi Inc. The SSC was a part of the Center for Environmental Energy Engineering at the University of Maryland. Each of these organizations contributed substantially to the effort.
Publisher Copyright:
© 2017, Springer Science+Business Media, LLC.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - This 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.
AB - This 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.
KW - Affective music
KW - Creative computing
KW - Evolutionary computing
KW - Genetic algorithm
KW - Music generation
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U2 - 10.1007/s10710-017-9307-y
DO - 10.1007/s10710-017-9307-y
M3 - Article
AN - SCOPUS:85020633618
VL - 18
SP - 433
EP - 465
JO - Genetic Programming and Evolvable Machines
JF - Genetic Programming and Evolvable Machines
SN - 1389-2576
IS - 4
ER -