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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 13 10 2023
accepted: 24 04 2024
medline: 28 5 2024
pubmed: 28 5 2024
entrez: 28 5 2024
Statut: epublish

Résumé

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 shaped by temporal structure and affected by spectral properties.

Identifiants

pubmed: 38805449
doi: 10.1371/journal.pone.0303347
pii: PONE-D-23-32598
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0303347

Informations de copyright

Copyright: © 2024 Nitta et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Jun Nitta (J)

Graduate School of Arts and Sciences, the University of Tokyo, Tokyo, Japan.

Sotaro Kondoh (S)

Graduate School of Arts and Sciences, the University of Tokyo, Tokyo, Japan.
Advanced Comprehensive Research Organization, Teikyo University, Tokyo, Japan.
Graduate School of Media and Governance, Keio University, Kanagawa, Japan.

Kazuo Okanoya (K)

Graduate School of Arts and Sciences, the University of Tokyo, Tokyo, Japan.
Advanced Comprehensive Research Organization, Teikyo University, Tokyo, Japan.

Ryosuke O Tachibana (RO)

Graduate School of Arts and Sciences, the University of Tokyo, Tokyo, Japan.
Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.

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