Literature DB >> 11516445

Human brain potential correlates of voice priming and voice recognition.

S R Schweinberger1.   

Abstract

This study investigated repetition priming in the recognition of famous voices, recording reaction times (RTs) and event-related brain potentials (ERPs). In Experiment 1, a facilitation was found in RTs to famous but not to unfamiliar voices when these had been primed by a different voice sample of the same speaker earlier in the experiment. However, ERPs to both famous and unfamiliar voices showed repetition priming in terms of an increased P2 component, which is thought to be generated in the auditory cortex. When the likelihood of conscious retrieval of primes was reduced in Experiment 2, facilitatory priming in RTs was again observed for famous voices, but inhibitory priming was now observed for unfamiliar voices. This is consistent with predictions of a bias model of priming. Moreover, substantial priming was observed even when voice primes were backward speech samples, which were recognised at chance levels. The results suggests that (a) voice priming is mediated to a large extent by frequency characteristics of a particular voice, rather than by articulatory and other 'sequential' features that are eliminated in backward speech; (b) priming affects the processing of voices in auditory cortical areas within 200 ms after voice onset; and (c) explicit recognition of a voice in the priming phase is not a necessary condition for priming to occur.

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Mesh:

Year:  2001        PMID: 11516445     DOI: 10.1016/s0028-3932(01)00023-9

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  12 in total

1.  Sparseness of vowel category structure: Evidence from English dialect comparison.

Authors:  Mathias Scharinger; William J Idsardi
Journal:  Lingua       Date:  2014-02-01

2.  Electrophysiological correlates of voice learning and recognition.

Authors:  Romi Zäske; Gregor Volberg; Gyula Kovács; Stefan Robert Schweinberger
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

3.  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

4.  Electrophysiological Evidence of Early Cortical Sensitivity to Human Conspecific Mimic Voice as a Distinct Category of Natural Sound.

Authors:  William J Talkington; Jeremy Donai; Alexandra S Kadner; Molly L Layne; Andrew Forino; Sijin Wen; Si Gao; Margeaux M Gray; Alexandria J Ashraf; Gabriela N Valencia; Brandon D Smith; Stephanie K Khoo; Stephen J Gray; Norman Lass; Julie A Brefczynski-Lewis; Susannah Engdahl; David Graham; Chris A Frum; James W Lewis
Journal:  J Speech Lang Hear Res       Date:  2020-09-16       Impact factor: 2.297

5.  Categorization of extremely brief auditory stimuli: domain-specific or domain-general processes?

Authors:  Emmanuel Bigand; Charles Delbé; Yannick Gérard; Barbara Tillmann
Journal:  PLoS One       Date:  2011-10-27       Impact factor: 3.240

6.  Emotionally expressed voices are retained in memory following a single exposure.

Authors:  Yoonji Kim; John J Sidtis; Diana Van Lancker Sidtis
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

7.  Electrophysiological evidence for an early processing of human voices.

Authors:  Ian Charest; Cyril R Pernet; Guillaume A Rousselet; Ileana Quiñones; Marianne Latinus; Sarah Fillion-Bilodeau; Jean-Pierre Chartrand; Pascal Belin
Journal:  BMC Neurosci       Date:  2009-10-20       Impact factor: 3.288

8.  Progressive associative phonagnosia: a neuropsychological analysis.

Authors:  Julia C Hailstone; Sebastian J Crutch; Martin D Vestergaard; Roy D Patterson; Jason D Warren
Journal:  Neuropsychologia       Date:  2009-12-16       Impact factor: 3.139

9.  Familiarity and Voice Representation: From Acoustic-Based Representation to Voice Averages.

Authors:  Maureen Fontaine; Scott A Love; Marianne Latinus
Journal:  Front Psychol       Date:  2017-07-14

10.  Visual mechanisms for voice-identity recognition flexibly adjust to auditory noise level.

Authors:  Corrina Maguinness; Katharina von Kriegstein
Journal:  Hum Brain Mapp       Date:  2021-05-27       Impact factor: 5.038

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