: Rhythm is ubiquitous in human culture and in nature, but hard to capture in all its complexity. A key dimension of rhythm, integer ratio categories occur when the relationship between temporal intervals can be expressed as small-integer ratios. Recent work has found integer ratio categories in most human musical cultures and some animal species' vocalizations or behavioral displays. But biological systems are noisy, and empirically measured intervals rarely form an exact small-integer ratio. Here, we mathematically assess whether a leading integer ratio analysis method makes valid statistical and biological assumptions. In particular, we (1) make the temporal properties of empirical ratios explicit, both in general and for the typical use in the literature; (2) show how the choice of ratio formula affects the probability distribution of rhythm ratios and ensuing statistical results; (3) guide the reader to carefully consider the assumptions and null hypotheses of the statistical analysis; and (4) present a comprehensive methodology to statistically test integer ratios for any null hypothesis of choice. Our observations have implications for both past and future research in music cognition and animal behavior: They suggest how to interpret past findings and provide tools to choose the correct null hypotheses in future empirical work.

Hidden assumptions of integer ratio analyses in bioacoustics and music

Jadoul, Yannick
First
Membro del Collaboration Group
;
Gamba, Marco
Membro del Collaboration Group
;
Ravignani, Andrea
Last
Membro del Collaboration Group
2025-01-01

Abstract

: Rhythm is ubiquitous in human culture and in nature, but hard to capture in all its complexity. A key dimension of rhythm, integer ratio categories occur when the relationship between temporal intervals can be expressed as small-integer ratios. Recent work has found integer ratio categories in most human musical cultures and some animal species' vocalizations or behavioral displays. But biological systems are noisy, and empirically measured intervals rarely form an exact small-integer ratio. Here, we mathematically assess whether a leading integer ratio analysis method makes valid statistical and biological assumptions. In particular, we (1) make the temporal properties of empirical ratios explicit, both in general and for the typical use in the literature; (2) show how the choice of ratio formula affects the probability distribution of rhythm ratios and ensuing statistical results; (3) guide the reader to carefully consider the assumptions and null hypotheses of the statistical analysis; and (4) present a comprehensive methodology to statistically test integer ratios for any null hypothesis of choice. Our observations have implications for both past and future research in music cognition and animal behavior: They suggest how to interpret past findings and provide tools to choose the correct null hypotheses in future empirical work.
2025
1
16
https://nyaspubs.onlinelibrary.wiley.com/doi/10.1111/nyas.70037
animal behavior; beat; categorical rhythm; meter; statistical assumptions; timing; vocalization
Jadoul, Yannick; Tufarelli, Tommaso; Coissac, Chloé; Gamba, Marco; Ravignani, Andrea
File in questo prodotto:
File Dimensione Formato  
Jadoul_etal_2025_AnnNYAcadSci.pdf

Accesso aperto

Descrizione: Finale OA
Tipo di file: PDF EDITORIALE
Dimensione 1.21 MB
Formato Adobe PDF
1.21 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2096910
Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact