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International Symposium on Computer Music Modeling and Retrieval

CMMR 2004: Computer Music Modeling and Retrieval pp 83–95Cite as

A Causal Rhythm Grouping

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 3310)

Abstract

This paper presents a method to identify segment boundaries in music. The method is based on a hierarchical model; first a features is measured from the audio, then a measure of rhythm is calculated from the feature (the rhythmogram), the diagonal of a self-similarity matrix is calculated from the rhythmogram, and finally the segment boundaries are found on a smoothed novelty measure, calculated from the diagonal of the self-similarity matrix. All the steps of the model have been accompanied with an informal evaluation, and the final system is tested on a variety of rhythmic songs with good results. The paper introduces a new feature that is shown to work significantly better than previously used features, a robust rhythm model and a robust, relatively cheap method to identify structure from the novelty measure.

Keywords

  • Segment Boundary
  • Audio Feature
  • Kernel Correlation
  • Rhythm Pattern
  • High Frequency Content

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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  • DOI: 10.1007/978-3-540-31807-1_6
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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100, Copenhagen, Denmark

    Kristoffer Jensen

Authors
  1. Kristoffer Jensen
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Editor information

Editors and Affiliations

  1. Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Campus 55, 5230, Odense M, Denmark

    Uffe Kock Wiil

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Jensen, K. (2005). A Causal Rhythm Grouping. In: Wiil, U.K. (eds) Computer Music Modeling and Retrieval. CMMR 2004. Lecture Notes in Computer Science, vol 3310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31807-1_6

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  • DOI: https://doi.org/10.1007/978-3-540-31807-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24458-5

  • Online ISBN: 978-3-540-31807-1

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