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When to Disturb? On Syncopation and Perceived Rhythmic Complexity

CC Liang* and Dr. Leigh VanHandel

UBC VanLab*, Faculty of Science*, Faculty of Arts

MURC 2025

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Table of Contents

I

IV

II

III

V

Strong beats + musical expectancy

Quantifying disruption

Weightings vs. perceived complexity

Experiment + data analysis

Implication + future directions

Syncopation

Knowledge Gap

Methodology

Results

Conclusion

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Syncopation

  • The disturbance in regular rhythmic flow in music
  • Stressing an off-beat

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Longuet-Higgins and Lee’s (LHL) Syncopation Model

Fitch & Rosenfeld, 2007

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Longuet-Higgins and Lee’s (LHL) Syncopation Model

Fitch & Rosenfeld, 2007

x

x

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Knowledge Gap

II

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Positively Correlates

with perceived rhythmic complexity

Povel, 1985; VanHandel 2022, 2023, 2024

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Longuet-Higgins and Lee’s (LHL) Syncopation model

Fitch & Rosenfeld, 2007

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Hypothesis:��Although the LHL model captures the overall syncopation effects, it overlooks the role of specific metrical locations.

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Methodology

III

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Experiment Preparation

  • 260 x 6 = 1560 stimuli
  • Syncopation amount, type, and silence

1 & 2 & 3 & 4 &

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Tempo Conditions

333 ms

(180 bpm)

400 ms

(150 bpm)

533 ms

(113 bpm)

666 ms

(90 bpm)

800 ms

(75 bpm)

933 ms

(64 bpm)

Faster Slower

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Participants

Total n = 602

Usable n = 456, mean age = 20.29

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Participant Task

Listen and rate 150 stimuli on a 6-point Likert scale

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Data Analysis

  • Mutated 456 x 150 = 68400 rows of data
  • Analyzed in Jupyter Notebook using R
  • Relied mostly on Pearson correlation
  • Grouped by note density, tempo, tempo conditions, LHL syncopation, and stimuli

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Results

IV

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Echoing Previous Findings

  • The effect of syncopation on perceived complexity is stronger at lower densities and slower tempos
  • Stimuli with syncopations appearing on strong beats (i.e., beats 1 and 3) were rated as more complex

Brillon 2022; VanHandel 2022, 2023, 2024

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Cross between Beats 1 and 3

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Beats vs. Tempo

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Conclusion

V

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Implication

  • Echo previous findings on the overall trends
  • Understanding interaction between syncopation and metrical context
  • The LHL model underestimates the strong effect of syncopation on beat 3

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Future Directions

Metrical Positions

Time Signatures

Study perceived rhythmic complexity in other time signatures

Examine the effect of silence and metrical position

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Thank you for listening!

Questions?

Credits: This presentation template was created by Slidesgo, and includes icons by Flaticon, and infographics & images by Freepik

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References

Brillon, C. & VanHandel, L. (2022, August 4-7). Perceived Complexity & Metrical Fit [Conference presentation]. Society for Music Perception and Cognition, Portland, Oregon, United States.

Fitch, W. T., & Rosenfeld, A. J. (2007). Perception and production of syncopated rhythms. Music Perception, 25(1), 43–58. https://doi.org/10.1525/mp.2007.25.1.43.

Longuet-Higgins, H.C., Lee, C.S. (1984). The Rhythmic Interpretation of Monophonic Music. Music Perception, 424-441.

Povel D.J., Essens, P. (1985). Perception of Temporal Patterns. Music Perception, 411-440.

VanHandel, L. (2022, August 4-7). Factors contributing to rhythmic complexity [Conference presentation]. Society for Music Perception and Cognition, Portland, Oregon, United States.

VanHandel, L. (2023, August 24-28). Syncopation, Density, and Variability as Contributing Factors to Perceived Complexity [Conference presentation]. International Conference on Music Perception and Cognition, Tokyo, Japan.

VanHandel, L. (2024, November 7-10) Not just syncopation: rhythmic complexity is … complex [Conference presentation]. Society for Music Theory 2024, Jacksonville, FL, United States.