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Extracting Performers’ Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations

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Case-Based Reasoning Research and Development (ICCBR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2689))

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Abstract

In this paper we describe a method, based on the edit distance, to construct cases of musical performances by annotating them with the musical behavior of the performer. The cases constructed with this knowledge are used in Tempo-Express, a CBR system for applying tempo transformations to musical performances, preserving musical expressiveness.

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Author information

Authors and Affiliations

  1. IIIA, Artificial Intelligence Research Institute, CSIC, Spanish Council for Scientific Research Campus UAB, 08193, Bellaterra, Catalonia, Spain

    Josep Lluís Arcos, Maarten Grachten & Ramon López de Mántaras

Authors
  1. Josep Lluís Arcos
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  2. Maarten Grachten
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  3. Ramon López de Mántaras
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Editor information

Editors and Affiliations

  1. Learning Research and Development Center, University of Pittsburgh, 3939 O’Hara Street, 15260, Pittsburgh, PA, USA

    Kevin D. Ashley

  2. Department of Computer Science, University College Cork, The Kane Building, College Road, Cork, Ireland

    Derek G. Bridge

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© 2003 Springer-Verlag Berlin Heidelberg

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Arcos, J.L., Grachten, M., de Mántaras, R.L. (2003). Extracting Performers’ Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations. In: Ashley, K.D., Bridge, D.G. (eds) Case-Based Reasoning Research and Development. ICCBR 2003. Lecture Notes in Computer Science(), vol 2689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45006-8_5

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  • DOI: https://doi.org/10.1007/3-540-45006-8_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40433-0

  • Online ISBN: 978-3-540-45006-1

  • eBook Packages: Springer Book Archive

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