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Analysis the approaches and applications for jazz music composing based on machine learning
- 1 College of humanities, Xidian University, Xi’an 710071, China
* Author to whom correspondence should be addressed.
Abstract
As a matter of fact, computer composing is a hot topic for study in recent years. To be specific, Jazz, one of the essential music genres, has a complex and irregular musical structure. Current researchers are focusing on how to use models to generate expressive and innovative jazz. This study first summarizes in detail the characteristics of the musical structure of jazz and the unique structures of jazz music that are the difficulties of model training. At the same time, it then analyzes the feasibility and application of several popular machine learning models in jazz music composition. Finally, this study combines the current development of the field of computer composition with the challenges faced by the field of computer-generated jazz, as well as the direction of the next step in the development of continued efforts to explore in-depth, in the hope that this will provide researchers with new research perspectives, and to promote the development of new forms of jazz music can flourish in the age of intelligent machines.
Keywords
Machine learning, music composing, Jazz
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Cite this article
Du,R. (2024). Analysis the approaches and applications for jazz music composing based on machine learning. Applied and Computational Engineering,68,114-122.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 6th International Conference on Computing and Data Science
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