Generating Music With Graphical Models

Abstract

Music can be seen as a set of pieces of sound, a set of instrument combinations or a set of notes. Modeling a song in one of these ways provides the possibility to study what we are going to play with respect to the previous times. Because of this discrete splitting of a piece of music, we thought of using graphical models. This thesis is dealing with the use of Markov Models and family in order to model music. We were interested in building a model complex enough to catch the local information of a measure and the more global information of a set of measures.

Publication DOI: https://doi.org/10.48780/publications.aston.ac.uk.00021483
Divisions: College of Engineering & Physical Sciences
Additional Information: Copyright © L. L'Heveder, 2000. L. L'Heveder asserts their moral right to be identified as the author of this thesis. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without appropriate permission or acknowledgement. If you have discovered material in Aston Publications Explorer which is unlawful e.g. breaches copyright, (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please read our Takedown Policy and contact the service immediately.
Institution: Aston University
Uncontrolled Keywords: graphical models,information engineering,music
Last Modified: 24 Apr 2025 14:52
Date Deposited: 19 Mar 2014 11:50
Completed Date: 2000-09
Authors: L'Heveder, L.

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