A Computer Model for the Analysis of Diversity and Coordination in Orchestration

Abstract

We introduce a method for computer-assisted analysis of musical texture and orchestration. Our aim is to establish a formal understanding of these symbolic dimensions that could be on par with existing computational approaches to rhythm and pitch. We also propose to investigate the role that texture and orchestration control has in structuring musical form. Our research is based on the theoretical considerations made by Wallace Berry in the classic Structural Functions in Music and the subsequent numerical representation and combinatorial manipulation, grounded on the mathematical theory of integer partitions proposed by Pauxy Gentil-Nunes. To do this, we assumed that each local sonic configuration (an orchestral configuration in the case of symphonic music), or Local Sonic Setup, delineate a sound unit. The qualification of these setups according to the number of sonic resources used and the way in which they are distributed to create more or less polyphonic complexity is information that is added to the other dimensions that contribute to the development of a dynamic of the form through sound.

Contributors

Charles de Paiva Santana

Didier Guigue

Conference

Publication date: July 2020

Publication date (Print): July 2020

Pages: 120-127

Affiliations

University of Campinas

Campinas, Brazil

Universidade Federal da Paraiba

João Pessoa, Brazil

Article

DOI: 10.14236/ewic/EVA2020.21

Copyright statement: © de Paiva Santana et al. Published by BCS Learning & Development Ltd. Proceedings of EVA London 2020

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of EVA London 2020

Conference acronym: EVA 2020

Conference number: 30

Conference location: London

Conference date: 6th July – 9th July 2020

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: AI and the Arts: Artificial Imagination

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2020.21

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing