Applications of Computational Intelligence in Computer Music Composition | ||
| International Journal of Intelligent Computing and Information Sciences | ||
| Article 5, Volume 21, Issue 1, February 2021, Pages 59-67 PDF (434.7 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijicis.2021.62820.1060 | ||
| Authors | ||
| Nermin Naguib Siphocly* 1; Abdel-Badeeh M. Salem2; El-Sayed M. El-Horabty3 | ||
| 1Department of Computer Science, Faculty of computer and information Sciences, Ain Shams University. | ||
| 2Computer Sciece Department, Faculty of Computer and Information Sciences, Ain Shams University | ||
| 3Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University | ||
| Abstract | ||
| Engaging computers in composing musical pieces is a challenging and trending field of research. The musical tasks that can be performed or aided by computers’ computational powers, are numerous. This paper is concerned with applications of computational intelligence in music composition. Its main objective is to survey various computational intelligence techniques for performing miscellaneous music composition tasks. To achieve this objective, we first define each music composition task, then we discuss the recent applications of each, and the techniques adopted in them. We also highlight the most suitable techniques for performing each task. Our study shows that the most suitable techniques for human composers imitative systems are case-based reasoning and artificial neural networks. It is also shown that Markov models are more suitable for predicting musical notes based on the given previous notes. Genetic algorithms excel in chord progressions generation. Deep neural networks are clever at capturing temporal information of a musical piece. The state-of-the-art generative adversarial networks produce music as close as possible to real compositions. At the end of this study, we shed the light on many future research directions in the field of computer music composition. | ||
| Keywords | ||
| Computer Music; Computational Intelligence; Artificial Intelligence; Algorithmic Composition | ||
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