Static and dynamic formant scaling conveys body size and aggression.

acoustic communication body size dynamic formants vocal tract length

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 15 09 2021
accepted: 09 12 2021
entrez: 4 3 2022
pubmed: 5 3 2022
medline: 5 3 2022
Statut: epublish

Résumé

When producing intimidating aggressive vocalizations, humans and other animals often extend their vocal tracts to lower their voice resonance frequencies (formants) and thus sound big. Is acoustic size exaggeration more effective when the vocal tract is extended before, or during, the vocalization, and how do listeners interpret within-call changes in apparent vocal tract length? We compared perceptual effects of static and dynamic formant scaling in aggressive human speech and nonverbal vocalizations. Acoustic manipulations corresponded to elongating or shortening the vocal tract either around (Experiment 1) or from (Experiment 2) its resting position. Gradual formant scaling that preserved average frequencies conveyed the impression of smaller size and greater aggression, regardless of the direction of change. Vocal tract shortening from the original length conveyed smaller size and less aggression, whereas vocal tract elongation conveyed larger size and more aggression, and these effects were stronger for static than for dynamic scaling. Listeners familiarized with the speaker's natural voice were less often 'fooled' by formant manipulations when judging speaker size, but paid more attention to formants when judging aggressive intent. Thus, within-call vocal tract scaling conveys emotion, but a better way to sound large and intimidating is to keep the vocal tract consistently extended.

Identifiants

pubmed: 35242348
doi: 10.1098/rsos.211496
pii: rsos211496
pmc: PMC8753157
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5764232']

Types de publication

Journal Article

Langues

eng

Pagination

211496

Informations de copyright

© 2022 The Authors.

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Auteurs

Andrey Anikin (A)

Division of Cognitive Science, Lund University, Lund, Sweden.
ENES Sensory Neuro-Ethology lab, CRNL, Jean Monnet University of Saint Étienne, UMR 5293, 42023, St-Étienne, France.

Katarzyna Pisanski (K)

ENES Sensory Neuro-Ethology lab, CRNL, Jean Monnet University of Saint Étienne, UMR 5293, 42023, St-Étienne, France.

David Reby (D)

ENES Sensory Neuro-Ethology lab, CRNL, Jean Monnet University of Saint Étienne, UMR 5293, 42023, St-Étienne, France.

Classifications MeSH