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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Evolutionary music composition system with statistically modeled criteria
verfasst von : Zdzisław Kowalczuk, Marek Tatara, Adam Bąk
Erschienen in: Trends in Advanced Intelligent Control, Optimization and Automation
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The paper concerns an original evolutionary music composition system. On the basis of available solutions, we have selected a finite set of music features which appear to have a key impact on the quality of composed musical phrases. Evaluation criteria have been divided into rule-based and statistical sub-sets. Elements of the cost function are modeled using a Gaussian distribution defined by the expected value and variance obtained from an analysis of recognized music pieces. An evolutionary algorithm, considering a reference sequence of chords as an input, is created, implemented and tested. The results of a sampling survey (poll) proves that the melodies generated by the system arouse the interest of a listener.