Literature DB >> 21334289

Human voice perception.

Marianne Latinus1, Pascal Belin.   

Abstract

We are all voice experts. First and foremost, we can produce and understand speech, and this makes us a unique species. But in addition to speech perception, we routinely extract from voices a wealth of socially-relevant information in what constitutes a more primitive, and probably more universal, non-linguistic mode of communication. Consider the following example: you are sitting in a plane, and you can hear a conversation in a foreign language in the row behind you. You do not see the speakers' faces, and you cannot understand the speech content because you do not know the language. Yet, an amazing amount of information is available to you. You can evaluate the physical characteristics of the different protagonists, including their gender, approximate age and size, and associate an identity to the different voices. You can form a good idea of the different speaker's mood and affective state, as well as more subtle cues as the perceived attractiveness or dominance of the protagonists. In brief, you can form a fairly detailed picture of the type of social interaction unfolding, which a brief glance backwards can on the occasion help refine - sometimes surprisingly so. What are the acoustical cues that carry these different types of vocal information? How does our brain process and analyse this information? Here we briefly review an emerging field and the main tools used in voice perception research.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21334289     DOI: 10.1016/j.cub.2010.12.033

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  37 in total

1.  Multivariate sensitivity to voice during auditory categorization.

Authors:  Yune Sang Lee; Jonathan E Peelle; David Kraemer; Samuel Lloyd; Richard Granger
Journal:  J Neurophysiol       Date:  2015-08-05       Impact factor: 2.714

2.  Detection of sickness in conspecifics using olfactory and visual cues.

Authors:  Camille Ferdenzi; Carmen Licon; Moustafa Bensafi
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-05       Impact factor: 11.205

3.  Voice Recognition in Face-Blind Patients.

Authors:  Ran R Liu; Raika Pancaroglu; Charlotte S Hills; Brad Duchaine; Jason J S Barton
Journal:  Cereb Cortex       Date:  2014-10-27       Impact factor: 5.357

4.  Talker identification: Effects of masking, hearing loss, and age.

Authors:  Virginia Best; Jayne B Ahlstrom; Christine R Mason; Elin Roverud; Tyler K Perrachione; Gerald Kidd; Judy R Dubno
Journal:  J Acoust Soc Am       Date:  2018-02       Impact factor: 1.840

5.  Auditory verbal hallucinations: Social, but how?

Authors:  Ben Alderson-Day; Charles Fernyhough
Journal:  J Conscious Stud       Date:  2016-01-01

6.  Acoustic and linguistic factors affecting perceptual dissimilarity judgments of voices.

Authors:  Tyler K Perrachione; Kristina T Furbeck; Emily J Thurston
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

7.  Acoustic voice variation within and between speakers.

Authors:  Yoonjeong Lee; Patricia Keating; Jody Kreiman
Journal:  J Acoust Soc Am       Date:  2019-09       Impact factor: 1.840

8.  Talker identification across source mechanisms: experiments with laryngeal and electrolarynx speech.

Authors:  Tyler K Perrachione; Cara E Stepp; Robert E Hillman; Patrick C M Wong
Journal:  J Speech Lang Hear Res       Date:  2014-10       Impact factor: 2.297

9.  Musicians show general enhancement of complex sound encoding and better inhibition of irrelevant auditory change in music: an ERP study.

Authors:  Natalya Kaganovich; Jihyun Kim; Caryn Herring; Jennifer Schumaker; Megan Macpherson; Christine Weber-Fox
Journal:  Eur J Neurosci       Date:  2013-01-10       Impact factor: 3.386

10.  Summary statistics in auditory perception.

Authors:  Josh H McDermott; Michael Schemitsch; Eero P Simoncelli
Journal:  Nat Neurosci       Date:  2013-02-24       Impact factor: 24.884

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