Evolutionary search for musical parallelism

  • Authors:
  • Søren Tjagvad Madsen;Gerhard Widmer

  • Affiliations:
  • Austrian Research Institute for Artificial Intelligence, Vienna, Austria;Austrian Research Institute for Artificial Intelligence, Vienna, Austria

  • Venue:
  • EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
  • Year:
  • 2005

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Abstract

This paper presents an Evolutionary Algorithm used to search for similarities in a music score represented as a graph. We show how the graph can be searched for similarities of different kinds using interchangeable similarity measures based on viewpoints. A segmentation algorithm using the EA for automatically finding structures in a score based on a specific-to-general ordering of the viewpoints is proposed. As an example a fugue by J. S. Bach is analysed, revealing its extensive use of inner resemblance.