Searching Musical Representative Phrases Using Decision Making Based on Fuzzy Similarities

  • Emerson Castañeda
  • Luis Garmendia
  • Matilde Santos
Part of the Intelligent Systems Reference Library book series (ISRL, volume 33)

Abstract

A new method to find representative phrases from a musical score is given in this paper. It is based on the computation and use of a fuzzy proximity relation on a set of phrases. This relation is computed as a conjunction of values given by a W-indistinguishability on a set of variation of notes in the phrases, where W is the Lukasiewicz t-norm. Different fuzzy logics are used and compared in order to show their influence on the final decision. The proposed method to find the most representative phrase has been proved successful on different musical scores.

Keywords

Membership Degree Variation Point Fuzzy Relation Ordered Weight Average Musical Score 
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 2012

Authors and Affiliations

  • Emerson Castañeda
    • 1
  • Luis Garmendia
    • 1
  • Matilde Santos
    • 1
  1. 1.Facultad de InformáticaUniversidad Complutense de MadridMadridSpain

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