Automated counter-melody generation for monophonic melodies

Author

LUKE PRUDENTE, Ateneo de Manila University

Date of Award

2017

Document Type

Thesis

Degree Name

Master of Science in Computer Science, Straight

Department

Information Systems & Computer Science

First Advisor

Coronel, Andrei D., Ph.D.

Abstract

The study aimed to create an automated process to generate counter-melodies. This was achieved by generating and deconstructing chord progressions, by assigning ratings to chords. The generated counter-melodies were then rated by an automated rubric, 10 human raters with background in music, and 10 human raters without a background in music. The counter-melodies made by this method have shown to have noticeable differences from human-made works, with a disparity in aural quality. At best the counter-melodies produced were of an average rating and far off from replacing human made works. However the results of the study are a step in the right direction.

Comments

The C7.P78 2017

Recommended Citation

PRUDENTE, L. (2017). Automated counter-melody generation for monophonic melodies. Ateneo de Manila University.
https://archium.ateneo.edu/theses-dissertations/73