Date of Award

1-1-2010

Document Type

Thesis

Degree Name

M.S.

Department

Computer Science

First Advisor

Chris GauthierDickey

Second Advisor

Mario Lopez

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.

Provenance

Recieved from ProQuest

Rights holder

Jeffrey Harrison Keene

File size

86 p.

File format

application/pdf

Language

en

Discipline

Computer science, Music

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