2017
DOI: 10.1007/s10710-017-9307-y
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Affective evolutionary music composition with MetaCompose

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Cited by 33 publications
(23 citation statements)
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“…In this paper, the fitness ratio method is used to preserve the best individual. In this method, the selection probability of each individual is proportional to the fitness function value, and the best individual is directly copied to the next generation without crossover and mutation [24,25].…”
Section: Interactive Evolutionary Computingmentioning
confidence: 99%
“…In this paper, the fitness ratio method is used to preserve the best individual. In this method, the selection probability of each individual is proportional to the fitness function value, and the best individual is directly copied to the next generation without crossover and mutation [24,25].…”
Section: Interactive Evolutionary Computingmentioning
confidence: 99%
“…The works [27,28] used the judgment of a human listener to evaluate the individuals. A very common fitness function is a combination of rule-based objectives [4,16,20,25,26]. Another common fitness function is a classifier trained with human-made examples [13,14,19].…”
Section: Terminology and Related Workmentioning
confidence: 99%
“…The composition system used pre-recorded tracks that were triggered by the specific emotion description. In contrast Scirea et al [20] developed a novel music composition model, MetaCompose, that combines graph traversal-based chord sequence generation with an evolutionary system of melody generation. Their system produces music for general affective states -either negative or positive -through the use of dissonance.…”
Section: Related Workmentioning
confidence: 99%