Literature DB >> 31590565

Acoustic voice variation within and between speakers.

Yoonjeong Lee1, Patricia Keating2, Jody Kreiman1.   

Abstract

Little is known about the nature or extent of everyday variability in voice quality. This paper describes a series of principal component analyses to explore within- and between-talker acoustic variation and the extent to which they conform to expectations derived from current models of voice perception. Based on studies of faces and cognitive models of speaker recognition, the authors hypothesized that a few measures would be important across speakers, but that much of within-speaker variability would be idiosyncratic. Analyses used multiple sentence productions from 50 female and 50 male speakers of English, recorded over three days. Twenty-six acoustic variables from a psychoacoustic model of voice quality were measured every 5 ms on vowels and approximants. Across speakers the balance between higher harmonic amplitudes and inharmonic energy in the voice accounted for the most variance (females = 20%, males = 22%). Formant frequencies and their variability accounted for an additional 12% of variance across speakers. Remaining variance appeared largely idiosyncratic, suggesting that the speaker-specific voice space is different for different people. Results further showed that voice spaces for individuals and for the population of talkers have very similar acoustic structures. Implications for prototype models of voice perception and recognition are discussed.

Entities:  

Year:  2019        PMID: 31590565      PMCID: PMC6909978          DOI: 10.1121/1.5125134

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  42 in total

1.  Individual differences in voice quality perception.

Authors:  J Kreiman; B R Gerratt; K Precoda; G S Berke
Journal:  J Speech Hear Res       Date:  1992-06

2.  Perceptual scaling of voice identity: common dimensions for different vowels and speakers.

Authors:  Oliver Baumann; Pascal Belin
Journal:  Psychol Res       Date:  2008-11-26

3.  The perceptual structure of pathologic voice quality.

Authors:  J Kreiman; B R Gerratt
Journal:  J Acoust Soc Am       Date:  1996-09       Impact factor: 1.840

4.  Human voice perception.

Authors:  Marianne Latinus; Pascal Belin
Journal:  Curr Biol       Date:  2011-02-22       Impact factor: 10.834

5.  Effects of lighting on the perception of facial surfaces.

Authors:  H Hill; V Bruce
Journal:  J Exp Psychol Hum Percept Perform       Date:  1996-08       Impact factor: 3.332

6.  Identity From Variation: Representations of Faces Derived From Multiple Instances.

Authors:  A Mike Burton; Robin S S Kramer; Kay L Ritchie; Rob Jenkins
Journal:  Cogn Sci       Date:  2015-03-30

7.  Effects of selected vocal disguises upon speaker identification by listening.

Authors:  A R Reich; J E Duke
Journal:  J Acoust Soc Am       Date:  1979-10       Impact factor: 1.840

Review 8.  Understanding the mechanisms of familiar voice-identity recognition in the human brain.

Authors:  Corrina Maguinness; Claudia Roswandowitz; Katharina von Kriegstein
Journal:  Neuropsychologia       Date:  2018-03-31       Impact factor: 3.139

Review 9.  A unified coding strategy for processing faces and voices.

Authors:  Galit Yovel; Pascal Belin
Journal:  Trends Cogn Sci       Date:  2013-05-10       Impact factor: 20.229

10.  Toward a unified theory of voice production and perception.

Authors:  Jody Kreiman; Bruce R Gerratt; Marc Garellek; Robin Samlan; Zhaoyan Zhang
Journal:  Loquens       Date:  2014-01
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  5 in total

1.  Speaker discrimination performance for "easy" versus "hard" voices in style-matched and -mismatched speech.

Authors:  Amber Afshan; Jody Kreiman; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2022-02       Impact factor: 1.840

2.  Acoustic voice variation in spontaneous speech.

Authors:  Yoonjeong Lee; Jody Kreiman
Journal:  J Acoust Soc Am       Date:  2022-05       Impact factor: 2.482

3.  Validating a psychoacoustic model of voice quality.

Authors:  Jody Kreiman; Yoonjeong Lee; Marc Garellek; Robin Samlan; Bruce R Gerratt
Journal:  J Acoust Soc Am       Date:  2021-01       Impact factor: 1.840

4.  Acoustic voice characteristics with and without wearing a facemask.

Authors:  Duy Duong Nguyen; Patricia McCabe; Donna Thomas; Alison Purcell; Maree Doble; Daniel Novakovic; Antonia Chacon; Catherine Madill
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

5.  The own-voice benefit for word recognition in early bilinguals.

Authors:  Sarah Cheung; Molly Babel
Journal:  Front Psychol       Date:  2022-09-02
  5 in total

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