What were you expecting? using expectancy features to predict expressive performances of classical piano music

Carlos Cancino-Chacón, Maarten Grachten, David R.W. Sears, Gerhard Widmer

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we present preliminary work examining the relationship between the formation of expectations and the realization of musical performances, paying particular attention to expressive tempo and dynamics. To compute features that reect what a listener is expecting to hear, we employ a computational model of auditory expectation called the Information Dynamics of Music model (IDyOM). We then explore how well these expectancy features-when combined with score descriptors using the Basis-Function modeling approach { can predict expressive tempo and dynamics in a dataset of Mozart piano sonata performances. Our results suggest that using expectancy features significantly improves the predictions for tempo.

Original languageEnglish
JournalUnknown Journal
StatePublished - Sep 11 2017

Keywords

  • IDyOM
  • Information theoretic features
  • Musical expression
  • RNNs

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