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Tapping in Time with Mechanically and Expressively Performed Music
Abstract
We investigate how the presence of performance microstructure (small variations in timing, intensity, and articulation) influences listeners' perception of musical excerpts, by measuring the way in which listeners synchronize with the excerpts. Musicians and nonmusicians tapped on a drum in synchrony with six musical excerpts, each presented in three versions: mechanical (synthesized from the score, without microstructure), accented (mechanical, with intensity accents), and expressive (performed by a concert pianist, with all types of microstructure). Participants' synchronizations with these excerpts were characterized in terms of three processes described in Mari Riess Jones's Dynamic Attending Theory: attunement (ease of synchronization), use of a referent level (spontaneous synchronization rate), and focal attending (range of synchronization levels). As predicted by beat induction models, synchronization was better with the temporally regular mechanical and accented versions than with the expressive versions. However, synchronization with expressive versions occurred at higher (slower) levels, within a narrower range of synchronization levels, and corresponded more frequently to the theoretically correct metrical hierarchy. We conclude that performance microstructure transmits a particular metrical interpretation to the listener and enables the perceptual organization of events over longer time spans. Compared with nonmusicians, musicians synchronized more accurately (heightened attunement), tapped more slowly (slower referent level), and used a wider range of hierarchical levels when instructed (enhanced focal attending), more often corresponding to the theoretically correct metrical hierarchy. We conclude that musicians perceptually organize events over longer time spans and have a more complete hierarchical representation of the music than do nonmusicians.
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Cited by
When the brain plays music: auditory–motor interactions in music perception and production
Zatorre, R. J., Chen, J. L., & Penhune, V. B. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2152 · Cited by 1,754
Rhythm and Beat Perception in Motor Areas of the Brain
Grahn, J. A., & Brett, M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.5.893 · Cited by 1,050
Automatic Extraction of Tempo and Beat From Expressive Performances
Dixon, S. (2001) · Journal of New Music Research · doi:10.1076/jnmr.30.1.39.7119 · Cited by 366
Impairment of beat-based rhythm discrimination in Parkinson's disease
Grahn, J. A., & Brett, M. (2009) · Cortex · doi:10.1016/j.cortex.2008.01.005 · Cited by 340
Pando‐Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza‐Villarreal, E. A., Witek, M. A. G., Penhune, V., & Vuust, P. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16128 · Cited by 29
Metadata
- Authors
- Drake, C., Penel, A., & Bigand, E.
- Venue
- Music Perception
- Publisher
- University of California Press
- Published
- 2000
- Volume
- 18
- Issue
- 1
- Pages
- 1-23
- ISSN
- 0730-7829 (ISSN-L)
- OpenAlex
- W2084369831
- Cited by
- 217
- References
- 0
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- closed
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