Literature DB >> 35232083

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

Amber Afshan1, Jody Kreiman2, Abeer Alwan1.   

Abstract

This study compares human speaker discrimination performance for read speech versus casual conversations and explores differences between unfamiliar voices that are "easy" versus "hard" to "tell together" versus "tell apart." Thirty listeners were asked whether pairs of short style-matched or -mismatched, text-independent utterances represented the same or different speakers. Listeners performed better when stimuli were style-matched, particularly in read speech-read speech trials (equal error rate, EER, of 6.96% versus 15.12% in conversation-conversation trials). In contrast, the EER was 20.68% for the style-mismatched condition. When styles were matched, listeners' confidence was higher when speakers were the same versus different; however, style variation caused decreases in listeners' confidence for the "same speaker" trials, suggesting a higher dependency of this task on within-speaker variability. The speakers who were "easy" or "hard" to "tell together" were not the same as those who were "easy" or "hard" to "tell apart." Analysis of speaker acoustic spaces suggested that the difference observed in human approaches to "same speaker" and "different speaker" tasks depends primarily on listeners' different perceptual strategies when dealing with within- versus between-speaker acoustic variability.

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Mesh:

Year:  2022        PMID: 35232083      PMCID: PMC8888001          DOI: 10.1121/10.0009585

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


  13 in total

1.  Breaking voice identity perception: Expressive voices are more confusable for listeners.

Authors:  Nadine Lavan; Luke Fk Burston; Paayal Ladwa; Siobhan E Merriman; Sarah Knight; Carolyn McGettigan
Journal:  Q J Exp Psychol (Hove)       Date:  2019-03-21       Impact factor: 2.143

2.  Modeling the voice source in terms of spectral slopes.

Authors:  Marc Garellek; Robin Samlan; Bruce R Gerratt; Jody Kreiman
Journal:  J Acoust Soc Am       Date:  2016-03       Impact factor: 1.840

3.  Performance Evaluation of Subharmonic-to-Harmonic Ratio (SHR) Computation.

Authors:  Christian T Herbst
Journal:  J Voice       Date:  2020-03-09       Impact factor: 2.009

4.  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

5.  Acoustic correlates of breathy vocal quality.

Authors:  J Hillenbrand; R A Cleveland; R L Erickson
Journal:  J Speech Hear Res       Date:  1994-08

6.  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

7.  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

Review 8.  Flexible voices: Identity perception from variable vocal signals.

Authors:  Nadine Lavan; A Mike Burton; Sophie K Scott; Carolyn McGettigan
Journal:  Psychon Bull Rev       Date:  2019-02

9.  How many voices did you hear? Natural variability disrupts identity perception from unfamiliar voices.

Authors:  Nadine Lavan; Luke F K Burston; Lúcia Garrido
Journal:  Br J Psychol       Date:  2018-09-16

10.  Comparing unfamiliar voice and face identity perception using identity sorting tasks.

Authors:  Justine Johnson; Carolyn McGettigan; Nadine Lavan
Journal:  Q J Exp Psychol (Hove)       Date:  2020-07-11       Impact factor: 2.143

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  1 in total

1.  Acoustic voice variation in spontaneous speech.

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

  1 in total

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