Lavan, Nadine, Burton, A. M. orcid.org/0000-0002-2035-2084, Scott, Sophie K. et al. (1 more author) (2019) Flexible voices:Identity perception from variable vocal signals. Psychonomic Bulletin and Review. pp. 90-102. ISSN 1069-9384
Abstract
Human voices are extremely variable: The same person can sound very different depending on whether they are speaking, laughing, shouting or whispering. In order to successfully recognise someone from their voice, a listener needs to be able to generalize across these different vocal signals (‘telling people together’). However, in most studies of voice-identity processing to date, the substantial within-person variability has been eliminated through the use of highly controlled stimuli, thus focussing on how we tell people apart. We argue that this obscures our understanding of voice-identity processing by controlling away an essential feature of vocal stimuli that may include diagnostic information. In this paper, we propose that we need to extend the focus of voice-identity research to account for both “telling people together” as well as “telling people apart.” That is, we must account for whether, and to what extent, listeners can overcome within-person variability to obtain a stable percept of person identity from vocal cues. To do this, our theoretical and methodological frameworks need to be adjusted to explicitly include the study of within-person variability.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Familiarity,Identity,Variability,Voice |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 23 Jul 2018 10:40 |
Last Modified: | 08 Feb 2025 00:30 |
Published Version: | https://doi.org/10.3758/s13423-018-1497-7 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.3758/s13423-018-1497-7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133673 |
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