A genetic algorithm for generating improvised music

Authors:
Ender Özcan;Türker Erçal
Affiliations:
Yeditepe University, Department of Computer Engineering, Kadiköy, İstanbul, Turkey;Yeditepe University, Department of Computer Engineering, Kadiköy, İstanbul, Turkey
Venue:
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Year:
2007

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Abstract

Genetic art is a recent art form generated by computers based on thegenetic algorithms (GAs). In this paper, the components of a GA embedded intoa genetic art tool named AMUSE are introduced. AMUSE is used to generateimprovised melodies over a musical piece given a harmonic context. Populationof melodies is evolved towards a better musical form based on a fitness functionthat evaluates ten different melodic and rhythmic features. Performanceanalysis of the GA based on a public evaluation shows that the objectives usedby the fitness function are assembled properly and it is a successful artificial intelligenceapplication.