Predicting strength from aggressive vocalizations versus speech in African bushland and urban communities.

Hadza acoustic communication aggression handgrip strength nonverbal vocalization

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
20 12 2021
Historique:
entrez: 1 11 2021
pubmed: 2 11 2021
medline: 19 3 2022
Statut: ppublish

Résumé

The human voice carries information about a vocalizer's physical strength that listeners can perceive and that may influence mate choice and intrasexual competition. Yet, reliable acoustic correlates of strength in human speech remain unclear. Compared to speech, aggressive nonverbal vocalizations (roars) may function to maximize perceived strength, suggesting that their acoustic structure has been selected to communicate formidability, similar to the vocal threat displays of other animals. Here, we test this prediction in two non-WEIRD African samples: an urban community of Cameroonians and rural nomadic Hadza hunter-gatherers in the Tanzanian bushlands. Participants produced standardized speech and volitional roars and provided handgrip strength measures. Using acoustic analysis and information-theoretic multi-model inference and averaging techniques, we show that strength can be measured from both speech and roars, and as predicted, strength is more reliably gauged from roars than vowels, words or greetings. The acoustic structure of roars explains 40-70% of the variance in actual strength within adults of either sex. However, strength is predicted by multiple acoustic parameters whose combinations vary by sex, sample and vocal type. Thus, while roars may maximally signal strength, more research is needed to uncover consistent and likely interacting acoustic correlates of strength in the human voice. This article is part of the theme issue 'Voice modulation: from origin and mechanism to social impact (Part I)'.

Identifiants

pubmed: 34719250
doi: 10.1098/rstb.2020.0403
pmc: PMC8558769
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5631308']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20200403

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Auteurs

Karel Kleisner (K)

Department of Philosophy and History of Science, Charles University, Prague, 12800, Czech Republic.

Juan David Leongómez (JD)

Human Behaviour Lab (LACH), Faculty of Psychology, Universidad El Bosque, Bogota, DC, 110121, Colombia.

Katarzyna Pisanski (K)

Equipe de Neuro-Ethologie Sensorielle, Centre de Recherche en Neurosciences de Lyon, Jean Monnet University of Saint-Etienne, 42100, France.
CNRS | Centre National de la Recherche Scientifique, Laboratoire Dynamique du Langage, Université Lyon 2, Lyon, 69363, France.
Institute of Psychology, University of Wroclaw, 50-527, Poland.

Vojtěch Fiala (V)

Department of Philosophy and History of Science, Charles University, Prague, 12800, Czech Republic.

Clément Cornec (C)

Equipe de Neuro-Ethologie Sensorielle, Centre de Recherche en Neurosciences de Lyon, Jean Monnet University of Saint-Etienne, 42100, France.

Agata Groyecka-Bernard (A)

Institute of Psychology, University of Wroclaw, 50-527, Poland.

Marina Butovskaya (M)

Institute of Ethnology and Anthropology, Russian Academy of Science, Russia.
Russian State University for the Humanities, Moscow, 125047, Russia.

David Reby (D)

Equipe de Neuro-Ethologie Sensorielle, Centre de Recherche en Neurosciences de Lyon, Jean Monnet University of Saint-Etienne, 42100, France.

Piotr Sorokowski (P)

Institute of Psychology, University of Wroclaw, 50-527, Poland.

Robert Mbe Akoko (RM)

Department of Communication and Development Studies, University of Bamenda, PO Box 39, Bambili, Bamenda, Cameroon.

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