Abstract
In this paper we compare computational approaches to rhythmic and melodic similarity in order to find relevant features characterizing similarity in a large collection of Dutch folksongs. Similarity rankings based on Transportation Distances are compared to an approach of rhythmic similarity based on Inner Metric Analysis proposed in this paper. The comparison between the two models demonstrates the important impact of rhythmic organization on melodic similarity.
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Volk, A., Garbers, J., van Kranenburg, P., Wiering, F., Grijp, L., Veltkamp, R.C. (2009). Comparing Computational Approaches to Rhythmic and Melodic Similarity in Folksong Research. In: Klouche, T., Noll, T. (eds) Mathematics and Computation in Music. MCM 2007. Communications in Computer and Information Science, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04579-0_8
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DOI: https://doi.org/10.1007/978-3-642-04579-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04578-3
Online ISBN: 978-3-642-04579-0
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