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Stochastic Improvisation of Jazz Solos

May 2, 2017, 12:30 pm - 1:30 pm
Location Richardson Hall - 222
Posted InCollege of Science and Mathematics

Tevin Rouse presents his Master's Thesis Defense in Mathematical Sciences.

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 are 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.

Thesis Committee

  • B. Nita, Chair
  • A. Vaidya
  • E. Hein