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

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      Proceedings of EVA London 2020 (EVA 2020)

      AI and the Arts: Artificial Imagination

      6th July – 9th July 2020

      Music analysis, Computational musicology, Orchestration, Musical texture

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            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.

            Content

            Author and article information

            Contributors
            Conference
            July 2020
            July 2020
            : 120-127
            Affiliations
            [0001]University of Campinas

            Campinas, Brazil
            [0002]Universidade Federal da Paraiba

            João Pessoa, Brazil
            Article
            10.14236/ewic/EVA2020.21
            dc93c03b-1dbe-44cc-ac74-2705b4038087
            © de Paiva Santana et al. Published by BCS Learning & Development Ltd. Proceedings of EVA London 2020

            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/

            Proceedings of EVA London 2020
            EVA 2020
            30
            London
            6th July – 9th July 2020
            Electronic Workshops in Computing (eWiC)
            AI and the Arts: Artificial Imagination
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            REFERENCES

            1. 1984 The theory of partitions Cambridge University Press

            2. 1987 Structural functions in music Dover New York

            3. 2009 Análise particional: uma mediação entre composição musical e a teoria das partições. Ph.D. Thesis Universidade Federal do Estado do Rio de Janeiro

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