Sign in
NeurosciencePLoS ONE
Peer-reviewed journal article

Spectral consistency in sound sequence affects perceptual accuracy in discriminating subdivided rhythmic patterns

Jun NittaiD, Sotaro KondohiD, Kazuo OkanoyaiD, Ryosuke O. TachibanaiD

Abstract

Musical compositions are distinguished by their unique rhythmic patterns, determined by subtle differences in how regular beats are subdivided. Precise perception of these subdivisions is essential for discerning nuances in rhythmic patterns. While musical rhythm typically comprises sound elements with a variety of timbres or spectral cues, the impact of such spectral variations on the perception of rhythmic patterns remains unclear. Here, we show that consistency in spectral cues affects perceptual accuracy in discriminating subdivided rhythmic patterns. We conducted online experiments using rhythmic sound sequences consisting of band-passed noise bursts to measure discrimination accuracy. Participants were asked to discriminate between a swing-like rhythm sequence, characterized by a 2:1 interval ratio, and its more or less exaggerated version. This task was also performed under two additional rhythm conditions: inversed-swing rhythm (1:2 ratio) and regular subdivision (1:1 ratio). The center frequency of the band noises was either held constant or alternated between two values. Our results revealed a significant decrease in discrimination accuracy when the center frequency was alternated, irrespective of the rhythm ratio condition. This suggests that rhythm perception is not only shaped by temporal structure but also affected by spectral properties.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
1
FWCI
0.24
Field percentile
48th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISFabio '24Zoefel '22Møller '21MacLean '26Kayser '19Coulon '24
72% semantic matchNeuroscience
Cécile Fabio, Christoph Kayser·bioRxiv·Dec 17, 2024