Expressivity-Preserving Tempo Transformation for Music – A Case-Based Approach

  • Ramon López de Mántaras
  • Maarten Grachten
  • Josep-Lluís Arcos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4314)

Abstract

The research described in this paper focuses on global tempo transformations of monophonic audio recordings of saxophone jazz performances. More concretely, we have investigated the problem of how a performance played at a particular tempo can be automatically rendered at another tempo while preserving its expressivity. To do so we have develppoped a case-based reasoning system called TempoExpress. The results we have obtained have been extensively compared against a standard technique called uniform time stretching (UTS), and show that our approach is superior to UTS.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ramon López de Mántaras
    • 1
  • Maarten Grachten
    • 1
  • Josep-Lluís Arcos
    • 1
  1. 1.IIIA, Artificial Intelligence Research Institute, CSIC, Spanish Council for Scientific Research, Campus UAB, 08193 Bellaterra, CataloniaSpain

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