Literature DB >> 26304294

Speaker perception.

Stefan R Schweinberger1,2, Hideki Kawahara3, Adrian P Simpson2,4, Verena G Skuk1,2, Romi Zäske1,2.   

Abstract

While humans use their voice mainly for communicating information about the world, paralinguistic cues in the voice signal convey rich dynamic information about a speaker's arousal and emotional state, and extralinguistic cues reflect more stable speaker characteristics including identity, biological sex and social gender, socioeconomic or regional background, and age. Here we review the anatomical and physiological bases for individual differences in the human voice, before discussing how recent methodological progress in voice morphing and voice synthesis has promoted research on current theoretical issues, such as how voices are mentally represented in the human brain. Special attention is dedicated to the distinction between the recognition of familiar and unfamiliar speakers, in everyday situations or in the forensic context, and on the processes and representational changes that accompany the learning of new voices. We describe how specific impairments and individual differences in voice perception could relate to specific brain correlates. Finally, we consider that voices are produced by speakers who are often visible during communication, and review recent evidence that shows how speaker perception involves dynamic face-voice integration. The representation of para- and extralinguistic vocal information plays a major role in person perception and social communication, could be neuronally encoded in a prototype-referenced manner, and is subject to flexible adaptive recalibration as a result of specific perceptual experience. WIREs Cogn Sci 2014, 5:15-25. doi: 10.1002/wcs.1261 CONFLICT OF INTEREST: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website.
© 2013 John Wiley & Sons, Ltd.

Entities:  

Year:  2013        PMID: 26304294     DOI: 10.1002/wcs.1261

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Cogn Sci        ISSN: 1939-5078


  19 in total

1.  The effects of stimulus complexity on the preattentive processing of self-generated and nonself voices: An ERP study.

Authors:  Tatiana Conde; Óscar F Gonçalves; Ana P Pinheiro
Journal:  Cogn Affect Behav Neurosci       Date:  2016-02       Impact factor: 3.282

2.  Neural systems for evaluating speaker (Un)believability.

Authors:  Xiaoming Jiang; Ryan Sanford; Marc D Pell
Journal:  Hum Brain Mapp       Date:  2017-04-30       Impact factor: 5.038

3.  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

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.  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

6.  Adaptation to vocal expressions reveals multistep perception of auditory emotion.

Authors:  Patricia E G Bestelmeyer; Pierre Maurage; Julien Rouger; Marianne Latinus; Pascal Belin
Journal:  J Neurosci       Date:  2014-06-11       Impact factor: 6.167

7.  Implicit and explicit learning in talker identification.

Authors:  Jayden J Lee; Tyler K Perrachione
Journal:  Atten Percept Psychophys       Date:  2022-05-09       Impact factor: 2.157

8.  Towards understanding speaker discrimination abilities in humans and machines for text-independent short utterances of different speech styles.

Authors:  Soo Jin Park; Gary Yeung; Neda Vesselinova; Jody Kreiman; Patricia A Keating; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2018-07       Impact factor: 1.840

9.  Autistic Traits are Linked to Individual Differences in Familiar Voice Identification.

Authors:  Verena G Skuk; Romina Palermo; Laura Broemer; Stefan R Schweinberger
Journal:  J Autism Dev Disord       Date:  2019-07

10.  A Neuropsychological Approach to Auditory Verbal Hallucinations and Thought Insertion - Grounded in Normal Voice Perception.

Authors:  Johanna C Badcock
Journal:  Rev Philos Psychol       Date:  2015-06-04
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