Determinants of voice recognition in monolingual and bilingual listeners

Theodore, Rachel M.; Flanagan, Erin G.

doi:10.1017/s1366728919000075

Cited by 4 publications

(1 citation statement)

References 41 publications

(106 reference statements)

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“…Finally, research on a possible role of auditory expertise on individual differences in voice recognition is based on blind listeners, musical experts and multilingual individuals, but results are scarce and heterogeneous (Föcker et al, 2012;Hölig et al, 2014;Bull et al, 1983;Pang et al, 2020;Eladd et al, 1998;Gougoux et al, 2009;Guenzburger et al, 1987;Winograd et al, 1984;Chartrand & Belin, 2006;Xie & Myers, 2015;Levi, 2018 andTheodore &Flanagan, 2020). We anticipate that it will be beneficial to use the JVLMT to assess voice recognition in these groups.…”

Section: Individual Differencesmentioning

confidence: 99%

The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices

Humble¹,

Schweinberger²,

Mayer³

et al. 2021

Preprint

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The ability to recognize someone’s voice exists on a broad spectrum with phonagnosia on the low end and super recognition at the high end. Yet there is no standardized test to measure an individual’s ability of learning and recognizing newly-learnt voices with samples of speech-like phonetic variability. We have developed the Jena Voice Learning and Memory Test (JVLMT), a 22min-test based on item response theory and applicable across languages. The JVLMT consists of three phases in which participants first become familiarized with eight speakers and then perform a three-alternative forced choice recognition task, using pseudo sentences devoid of semantics. Acoustic (dis)similarity analyses were used to create items with different levels of difficulty. Test scores are based on 22 Rasch-conform items. Items were selected based on 232 and validated based on 454 participants in an online study. Mean accuracy is 0.51 with an SD of .18. The JVLMT showed high and moderate correlations with the convergent validation tests (Bangor Voice Matching Test; Glasgow Voice Memory Test, respectively) and a weak correlation with the discriminant validation test (Digit Span). Empirical (marginal) reliability is 0.66. Four participants with super recognition abilities and 7 participants with phonagnosia were identified (at least 2 SDs above or below the mean, respectively).The JVLMT is a promising diagnostic tool to screen for voice recognition abilities in a scientific and neuropsychological context.

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Section: Individual Differencesmentioning

confidence: 99%

The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices

Humble¹,

Schweinberger²,

Mayer³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Language-general versus language-specific processes in bilingual voice learning

Lloy,

Patil,

Johnson

et al. 2024

Cognition

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Revisiting the left ear advantage for phonetic cues to talker identification

Drown

Philip

Francis

et al. 2022

The Journal of the Acoustical Society of America

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Previous research suggests that learning to use a phonetic property [e.g., voice-onset-time, (VOT)] for talker identity supports a left ear processing advantage. Specifically, listeners trained to identify two “talkers” who only differed in characteristic VOTs showed faster talker identification for stimuli presented to the left ear compared to that presented to the right ear, which is interpreted as evidence of hemispheric lateralization consistent with task demands. Experiment 1 ( n = 97) aimed to replicate this finding and identify predictors of performance; experiment 2 ( n = 79) aimed to replicate this finding under conditions that better facilitate observation of laterality effects. Listeners completed a talker identification task during pretest, training, and posttest phases. Inhibition, category identification, and auditory acuity were also assessed in experiment 1. Listeners learned to use VOT for talker identity, which was positively associated with auditory acuity. Talker identification was not influenced by ear of presentation, and Bayes factors indicated strong support for the null. These results suggest that talker-specific phonetic variation is not sufficient to induce a left ear advantage for talker identification; together with the extant literature, this instead suggests that hemispheric lateralization for talker-specific phonetic variation requires phonetic variation to be conditioned on talker differences in source characteristics.

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Determinants of voice recognition in monolingual and bilingual listeners

Cited by 4 publications

References 41 publications

The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices

The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices

Language-general versus language-specific processes in bilingual voice learning

Revisiting the left ear advantage for phonetic cues to talker identification

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