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      Nonlinear vocal phenomena affect human perceptions of distress, size and dominance in puppy whines

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          Abstract

          While nonlinear phenomena (NLP) are widely reported in animal vocalizations, often causing perceptual harshness and roughness, their communicative function remains debated. Several hypotheses have been put forward: attention-grabbing, communication of distress, exaggeration of body size and dominance. Here, we use state-of-the-art sound synthesis to investigate how NLP affect the perception of puppy whines by human listeners. Listeners assessed the distress, size or dominance conveyed by synthetic puppy whines with manipulated NLP, including frequency jumps and varying proportions of subharmonics, sidebands and deterministic chaos. We found that the presence of chaos increased the puppy's perceived level of distress and that this effect held across a range of representative fundamental frequency ( f o ) levels. Adding sidebands and subharmonics also increased perceived distress among listeners who have extensive caregiving experience with pre-weaned puppies (e.g. breeders, veterinarians). Finally, we found that whines with added chaos, subharmonics or sidebands were associated with larger and more dominant puppies, although these biases were attenuated in experienced caregivers. Together, our results show that nonlinear phenomena in puppy whines can convey rich information to human listeners and therefore may be crucial for offspring survival during breeding of a domesticated species.

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          Most cited references60

          • Record: found
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          brms: An R Package for Bayesian Multilevel Models Using Stan

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            • Record: found
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            • Article: not found

            Calls out of chaos: the adaptive significance of nonlinear phenomena in mammalian vocal production

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              • Record: found
              • Abstract: not found
              • Article: not found

              On the Occurrence and Significance of Motivation-Structural Rules in Some Bird and Mammal Sounds

                Bookmark

                Author and article information

                Contributors
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                Journal
                Proceedings of the Royal Society B: Biological Sciences
                Proc. R. Soc. B.
                The Royal Society
                0962-8452
                1471-2954
                April 27 2022
                April 27 2022
                April 27 2022
                : 289
                : 1973
                Affiliations
                [1 ]Equipe de Neuro-Ethologie Sensorielle, ENES/CRNL, University of Saint-Etienne, CNRS, Inserm, Saint-Etienne, France
                [2 ]Division of Cognitive Science, University of Lund, 22100 Lund, Sweden
                [3 ]CNRS, French National Centre for Scientific Research, Laboratoire de Dynamique du Langage, University of Lyon 2, 69007 Lyon, France
                [4 ]École Nationale Vétérinaire d'Alfort, EnvA, 94700 Maisons-Alfort, France
                [5 ]Physiologie de la Reproduction et des Comportements, CNRS, IFCE, INRAE, University of Tours, PRC, Nouzilly, France
                [6 ]Institut universitaire de France, Paris, France
                Article
                10.1098/rspb.2022.0429
                35473375
                01e627a9-486b-47d2-8ebf-388acbe66c9d
                © 2022

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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