Project Metamorphosis: Designing a Dynamic Framework for Converting Musical Compositions into Paintings

Author:

Ali Rao Hamza1ORCID,Fong Grace2ORCID,Linstead Erik3ORCID

Affiliation:

1. Rao Hamza Ali, Machine Learning and Affiliated Technologies (MLAT) Laboratory, Fowler School of Engineering, Chapman University, One University Drive, Orange, CA 92868, U.S.A. Email: raali@chapman.edu

2. Grace Fong, College of Performing Arts, Hall-Musco Conservatory of Music, Chapman University, One University Drive, Orange, CA 92868, U.S.A. Email: fong@chapman.edu

3. Erik Linstead, Machine Learning and Affiliated Technologies (MLAT) Laboratory, Fowler School of Engineering, Chapman University, One University Drive, Orange, CA 92868, U.S.A. Email: linstead@chapman.edu

Abstract

Abstract The authors present an automated, rule-based system to convert piano compositions into paintings. Using a color-note association scale presented by Edward Maryon in his book Marcotone (1919), which correlates 12-tone scale with 12 hues of the color circle, the authors present a simple approach for extracting colors associated with each note played in a piano composition. The authors also describe the color extraction and art generation process in detail, as well as the process to create ‘moving art,’ which imitates the progression of a musical piece in real time. They share and discuss artworks generated for four famous piano compositions.

Publisher

MIT Press - Journals

Subject

Computer Science Applications,Music,Engineering (miscellaneous),Visual Arts and Performing Arts

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