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Abstract
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.
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- Publication version
- Accepted or Published Version
- License
- Copyright (Springer International Publishing AG 2017)
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Published in:
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Advances in Intelligent Systems and Computing
no. 577,
pages 722 - 733,
ISSN: 2194-5357 - Title of issue:
- Trends in Advanced Intelligent Control, Optimization and Automation strony 722 - 733
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Kowalczuk Z., Tatara M. S., Bąk A.: Evolutionary music composition system with statistically modeled criteria// / ed. Wojciech Mitkowski, Janusz Kacprzyk, Krzysztof Oprzędkiewicz, Paweł Skruch Cham: Springer, 2017, s.722-733
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-60699-6_70
- Verified by:
- Gdańsk University of Technology
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