Date of Award

8-1-2010

Document Type

Masters Thesis

Degree Name

M.S.

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science

First Advisor

Chris Gauthier-Dickey, Ph.D.

Second Advisor

Mario Lopez, Ph.D.

Third Advisor

Susan Sherba

Fourth Advisor

Ronald DeLyser

Keywords

Computer generated music, Musical aesthetic, Music composition

Abstract

Composing music with computers in constrained search environments adds complexities and problems not present in the traditional problem domain of generative music. The traditional and well researched mechanisms of Markov chains, genetic algorithms and data driven rule based systems do not directly map to a problem domain in which pitch choice and rhythm choice are likely to be highly limited.

We therefore explore several possible solutions to generating rhythms in extremely constrained environments with the goal of generating music that adheres to user specified constraints and is aesthetically pleasing.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Jeff Keene

Provenance

Received from ProQuest

File Format

application/pdf

Language

en

File Size

86 p.

Discipline

Computer science, Music



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