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.
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Madsen, S.T., Widmer, G. (2005). Evolutionary Search for Musical Parallelism. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_49
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DOI: https://doi.org/10.1007/978-3-540-32003-6_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25396-9
Online ISBN: 978-3-540-32003-6
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