Keywords
composition, harmonization, creativity, mood
Abstract
Musical harmonization of a given melody is a nontrivial problem; slight variations in instrumentation, voicing, texture, and bass rhythm can lead to significant differences in the mood of the resulting piece. This study explores the possibility of automatic musical composition by using machine learning and statistical natural language processing to tailor a piece to a particular mood using an existing melody.
Original Publication Citation
Heather Chan and Dan Ventura, "Automatic Composition of Themed Mood Pieces", Proceedings of the International Joint Workshop on Computational Creativity, pp. 19-115, 28.
BYU ScholarsArchive Citation
Chan, Heather and Ventura, Dan A., "Automatic Composition of Themed Mood Pieces" (2008). Faculty Publications. 908.
https://scholarsarchive.byu.edu/facpub/908
Document Type
Peer-Reviewed Article
Publication Date
2008-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/2645
Publisher
Computational Creativity
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2008 Dan Ventura et al.
Copyright Use Information
http://lib.byu.edu/about/copyright/