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Tonal modulation influences on musical sight-reading.

Yumo Zhang1, Olivia Podolak Lewandowska1, Spencer Jones1

  • 1Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.

Frontiers in Psychology
|March 20, 2026
PubMed
Summary
This summary is machine-generated.

Piano sight-reading performance is affected by tonal modulations. Greater tonal distance increases errors, with pianists expecting key changes even without them, supporting a perception-action model.

Keywords:
motor controlmusic cognition and perceptionmusic performanceperception-action approachsight-reading

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Area of Science:

  • Cognitive Psychology
  • Music Cognition
  • Neuroscience

Background:

  • Musical sight-reading links visual notation to motor actions, serving as a model for perception-action coupling.
  • Understanding how tonal modulations influence this process is crucial for cognitive and neuroscience research.

Purpose of the Study:

  • To investigate the impact of varying tonal modulation distances on piano sight-reading accuracy.
  • To explore pianists' expectations of key changes during performance.

Main Methods:

  • Two experiments were conducted with pianists sight-reading melodies.
  • Melodies featured different tonal modulation distances (none, close, mid, far) and were presented in random or blocked orders.
  • Performance errors were analyzed in relation to key transitions and modulation types.

Main Results:

  • Error rates increased from the initial to the subsequent key, particularly with farther modulations.
  • A peak in errors occurred at the key transition point.
  • Pianists showed expectations for key modulation even when none occurred, especially when presented with modulating melodies first.

Conclusions:

  • Results support a perception-action account of piano performance, highlighting the interplay between auditory expectations and motor execution.
  • Findings suggest that tonal context and learned expectations significantly influence real-time musical performance.
  • This research opens avenues for further study into predictive mechanisms in music performance.