Beyond speech: Exploring diversity in the human voice.

Biological sciences Evolutionary biology Natural sciences

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 03 05 2023
revised: 20 07 2023
accepted: 11 10 2023
medline: 1 11 2023
pubmed: 1 11 2023
entrez: 1 11 2023
Statut: epublish

Résumé

Humans have evolved voluntary control over vocal production for speaking and singing, while preserving the phylogenetically older system of spontaneous nonverbal vocalizations such as laughs and screams. To test for systematic acoustic differences between these vocal domains, we analyzed a broad, cross-cultural corpus representing over 2 h of speech, singing, and nonverbal vocalizations. We show that, while speech is relatively low-pitched and tonal with mostly regular phonation, singing and especially nonverbal vocalizations vary enormously in pitch and often display harsh-sounding, irregular phonation owing to nonlinear phenomena. The evolution of complex supralaryngeal articulatory spectro-temporal modulation has been critical for speech, yet has not significantly constrained laryngeal source modulation. In contrast, articulation is very limited in nonverbal vocalizations, which predominantly contain minimally articulated open vowels and rapid temporal modulation in the roughness range. We infer that vocal source modulation works best for conveying affect, while vocal filter modulation mainly facilitates semantic communication.

Identifiants

pubmed: 37908309
doi: 10.1016/j.isci.2023.108204
pii: S2589-0042(23)02281-2
pmc: PMC10613903
doi:

Types de publication

Journal Article

Langues

eng

Pagination

108204

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Andrey Anikin (A)

Division of Cognitive Science, Lund University, Lund, Sweden.
ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, 23 rue Michelon, 42023 Saint-Etienne, France.

Valentina Canessa-Pollard (V)

ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, 23 rue Michelon, 42023 Saint-Etienne, France.
Psychology, Institute of Psychology, Business and Human Sciences, University of Chichester, Chichester, West Sussex PO19 6PE, UK.

Katarzyna Pisanski (K)

ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, 23 rue Michelon, 42023 Saint-Etienne, France.
CNRS French National Centre for Scientific Research, DDL Dynamics of Language Lab, University of Lyon 2, 69007 Lyon, France.
Institute of Psychology, University of Wrocław, Dawida 1, 50-527 Wrocław, Poland.

Mathilde Massenet (M)

ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, 23 rue Michelon, 42023 Saint-Etienne, France.

David Reby (D)

ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, 23 rue Michelon, 42023 Saint-Etienne, France.

Classifications MeSH