Cited by 222Neuroscience and Music PerceptionPhonetics and Phonology ResearchNeurobiology of Language and Bilingualism

Neural mechanisms for voice recognition

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Andics, Attila, McQueen, James M., Petersson, Karl Magnus, Gál, Viktor, Rudas, Gábor, Vidnyánszky, Zoltán·2010·NeuroImage

Abstract

We investigated neural mechanisms that support voice recognition in a training paradigm with fMRI. The same listeners were trained on different weeks to categorize the mid-regions of voice-morph continua as an individual's voice. Stimuli implicitly defined a voice-acoustics space, and training explicitly defined a voice-identity space. The pre-defined centre of the voice category was shifted from the acoustic centre each week in opposite directions, so the same stimuli had different training histories on different tests. Cortical sensitivity to voice similarity appeared over different time-scales and at different representational stages. First, there were short-term adaptation effects: increasing acoustic similarity to the directly preceding stimulus led to haemodynamic response reduction in the middle/posterior STS and in right ventrolateral prefrontal regions. Second, there were longer-term effects: response reduction was found in the orbital/insular cortex for stimuli that were most versus least similar to the acoustic mean of all preceding stimuli, and, in the anterior temporal pole, the deep posterior STS and the amygdala, for stimuli that were most versus least similar to the trained voice-identity category mean. These findings are interpreted as effects of neural sharpening of long-term stored typical acoustic and category-internal values. The analyses also reveal anatomically separable voice representations: one in a voice-acoustics space and one in a voice-identity space. Voice-identity representations flexibly followed the trained identity shift, and listeners with a greater identity effect were more accurate at recognizing familiar voices. Voice recognition is thus supported by neural voice spaces that are organized around flexible 'mean voice' representations.

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  • Humans can typically decode the gender of an individual from their voice and distinguish between voices.

    “Humans can typically decode the gender of an individual from their voice and distinguish between voices [111,112].”

    From The Neurobiology of Love and Pair Bonding from Human and Animal Perspectives (2023) · cites this paper as [112]

    The Introduction (page not provided) says voices are used efficiently for person recognition, and the Training Design describes listeners distinguishing a trained voice from a different voice. The paper does not establish that people can typically determine a speaker’s gender from their voice; its recordings used two female speakers (Recording, page not provided). (LLM, conf=0.88)

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Research works printed but not linked: 2

  1. Hardcastle, W., Laver, J. (Eds.), A Handbook of Phonetic Science. Blackwell, Oxford, pp. 744-766.
  2. Pernet, C., Charest, I., Bélizaire, G., Zatorre, R.J., Belin, P., 2007. The temporal voice areas: spatial characterization and variability. 13th International Conference on Func- tional Mapping of the Human Brain, Chicago, USA: NeuroImage, 36. Supp1.

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Authors
Andics, A., McQueen, J. M., Petersson, K. M., Gál, V., Rudas, G., & Vidnyánszky, Z.
Affiliations
  • Semmelweis University (HU)
  • Radboud University Nijmegen (NL)
Corresponding author
Andics, Attila
Venue
NeuroImage
Publisher
Elsevier BV
Published
2010-10
Volume
52
Issue
4
Pages
1528-1540
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2087990895
Cited by
222
References
79
Citations by year
2026: 8 · 2025: 9 · 2024: 5 · 2023: 17 · 2022: 44 · 2021: 13 · 2020: 8 · 2019: 12 · 2018: 18 · 2017: 10 · 2016: 5 · 2015: 10 · 2014: 22 · 2013: 16 · 2012: 11
FWCI
7.35
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Funders
  • Max Planck Society
  • FCT (IBB/CBME, LA, FEDER/POCI 2010)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
Keywords
voice recognition, vocal identity, short-term adaptation, superior temporal sulcus, amygdala, anterior temporal pole, insula, orbital cortex, ventrolateral prefrontal cortex, individual differences
MeSH terms
Adult, Brain, Evoked Potentials, Auditory, Female, Humans, Male, Speech Perception, Voice, Young Adult, Biometric Identification

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