Evolutionary Search for Musical Parallelism

Soeren Madsen; Gerhard Widmer

Evolutionary Search for Musical Parallelism

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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 \emph{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.

Original language	English
Title of host publication	Proceedings of the 3rd European Workshop on Evolutionary Music and Art (EvoMUSART'2005), Lausanne, Switzerland
Publisher	Berlin: Springer Verlag
Number of pages	10
Publication status	Published - 2005

Fields of science

102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems
202002 Audiovisual media

Cite this

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AB - 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 \emph{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.

M3 - Conference proceedings

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PB - Berlin: Springer Verlag

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