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Music Knowledge Analysis: Towards an Efficient Representation for Composition

  • Jesus L. Alvaro
  • Eduardo R. Miranda
  • Beatriz Barros
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4177)

Abstract

This document presents an analysis of Music Knowledge as a first step towards music representation for composition. After an introductory review of music computing evolution, several approaches to music knowledge are described: the system levels context, music theory and disciplines, dimensions in music, and finally the creative process. Then, the composition knowledge is analyzed at the symbolic level, dissecting its sub-level structure, and concluding with some requirements for an efficient representation. EV meta-model is presented as a multilevel representation tool for event based systems as music. Its structure and unique features are described within the analyzed level context. Three musical application examples of EV modeling are shown in the field of sound synthesis and music composition. These examples test representation, extension and development features.

Keywords

Knowledge Level Dynamic Object Symbolic Level Composition Process Efficient Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jesus L. Alvaro
    • 1
    • 2
  • Eduardo R. Miranda
    • 2
  • Beatriz Barros
    • 1
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUNED 
  2. 2.Interdisciplinary Centre for Computer Music ResearchUniversity of PlymouthUK

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