A Positive-Evidence Model for Classifying Rhythmical Patterns

  • Authors:
  • D. Eck

  • Affiliations:
  • -

  • Venue:
  • A Positive-Evidence Model for Classifying Rhythmical Patterns
  • Year:
  • 2000

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Abstract

The Normalized Positive (NPOS) model is a novel matching model that predicts downbeat location and pattern complexity in rhythmical patterns. Though similar models report success, the NPOS model is particularly effective at making these predictions while at the same time being theoretically and mathematically simple. In this paper, the details of the model are explored and a comparison is made to existing models. Several datasets are used to examine the complexity predictions of the model. Special attention is paid to the model''s ability to account for the effects of musical experience on rhythm perception (McAuley & Semple 1999, Drake 1993).