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Affect-Driven CBR to generate expressive music

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Case-Based Reasoning Research and Development (ICCBR 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1650))

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Abstract

We present an extension of an existing system, called SaxEx, capable of generating expressive musical performances based on Case-Based Reasoning (CBR) techniques. The previous version of SaxEx did not take into account the possibility of using affective labels to guide the CBR task. This paper discusses the introduction of such affective knowledge to improve the retrieval capabilities of the system. Three affective dimensions are considered—tender-aggressive, sad-joyful, and calm-restless that allow the user to declaratively instruct the system to perform according to any combination of five qualitative values along these three dimensions.

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Author information

Authors and Affiliations

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

    Josep Lluís Arcos, Dolores Cañamero & Ramon López de Mántaras

Authors
  1. Josep Lluís Arcos
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  2. Dolores Cañamero
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  3. Ramon López de Mántaras
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Editor information

Editors and Affiliations

  1. Fraunhofer Institute for Experimental Software Engineering (IESE), Sauerwiesen 6, D 67661, Kaiserslautern, Germany

    Klaus-Dieter Althoff

  2. Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, D 67653, Kaiserslautern, Germany

    Ralph Bergmann

  3. Department of Computer Science, University of Wyoming, P.O. Box 3682, Laramie, WY, 82072, USA

    L.Karl Branting

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© 1999 Springer-Verlag Berlin Heidelberg

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Arcos, J.L., Cañamero, D., de Mántaras, R.L. (1999). Affect-Driven CBR to generate expressive music. In: Althoff, KD., Bergmann, R., Branting, L. (eds) Case-Based Reasoning Research and Development. ICCBR 1999. Lecture Notes in Computer Science, vol 1650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48508-2_1

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  • DOI: https://doi.org/10.1007/3-540-48508-2_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66237-2

  • Online ISBN: 978-3-540-48508-7

  • eBook Packages: Springer Book Archive

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