Date of Award
12-2008
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Computer Science
Department
Computer Science
Major Professor
DePano, Adlai
Second Advisor
Tu, Shengru
Third Advisor
Richard III, Golden
Abstract
Rhythm is at the heart of all music. It is the variation of the duration of sound over time. A rhythm has two components: one is the striking of an instrument – called the "onset" – and the other is silence. Historically, musical forms and works were preferred and became popular by their rhythmic properties. Therefore, to study rhythm is to study the underpinnings of all of music. In this thesis, we explore basic rhythmic preferences in traditional music and, using this as a point of reference, methods are implemented to generate similar types of rhythms. Finally, a software platform to facilitate such an analysis is developed – it is the first of its kind available to our best knowledge as this research field has only recently emerged.
Recommended Citation
Sorakayala, Shashidhar, "Preferences in Musical Rhythms and Implementation of Analytical Results to Generate Rhythms" (2008). University of New Orleans Theses and Dissertations. 884.
https://scholarworks.uno.edu/td/884
Rights
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