Honors Theses and Capstones
Date of Award
Spring 2021
Project Type
Senior Honors Thesis
College or School
CEPS
Department
Computer Science
Degree Name
Bachelor of Science
First Advisor
Laura Dietz
Abstract
By combining attention-based mechanisms that have proved beneficial in the field of natural language processing with domain-specific knowledge about the structure of music, better predictions about piece continuations can be made. The goal of this work is to adapt current natural language processing techniques to a musical domain, and to generate new music by predicting continuations on a sequence of notes. An adaptation of traditional attention mechanisms to create a single prediction from sequential input is used to extend musical pieces by appending new elements repeatedly.
Recommended Citation
Lennox, Connor J., "Impromptune: Symbolic Music Generation with Relative Attention Mechanisms" (2021). Honors Theses and Capstones. 564.
https://scholars.unh.edu/honors/564