Date of Award

5-2017

Document Type

Thesis

Degree Name

Master of Science (MS)

College/School

College of Science and Mathematics

Department/Program

Mathematical Sciences

Thesis Sponsor/Dissertation Chair/Project Chair

Bogdan Nita

Committee Member

Ashwin Vaidya

Committee Member

Ethan Hein

Subject(s)

Stochastic processes, Markov processes, Jazz, Computer music--Composition, Improvisation (Music)

Abstract

We propose using stochastic methods to generate new Jazz solos in the style of an artist of interest. To accomplish this, we implement several Markov models that use an artist’s known solos in order to mimic their pitch selection tendencies. Construction of two unique solos were generated for each artist considered as well as analysis of the characteristics the solos possessed in comparison to the artist’s original solo. This software implementation seeks to offer a new method for creating computer music compositions.

File Format

PDF

Included in

Mathematics Commons

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