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
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
Recommended Citation
Rouse, Tevin, "Stochastic Improvisation of Jazz Solos" (2017). Theses, Dissertations and Culminating Projects. 597.
https://digitalcommons.montclair.edu/etd/597