ArticleBehavior research methods2023
The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices.
Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Implicit voice learning through discrimination outperforms explicit listen-and-memorize tasks.Scientific reports · 2026Article
- As group size increases, individuals modify their vocal features to signal cooperation while remaining recognizable.Frontiers in psychology · 2026Article
- Introducing the Sisu Voice Matching Test (SVMT): A novel tool for assessing voice discrimination in Chinese.Behavior research methods · 2025Article
- Evaluating speech-in-speech perception via a humanoid robot.Frontiers in neuroscience · 2024Article
- Neural Correlates of Voice Learning with Distinctive and Non-Distinctive Faces.Brain sciences · 2023Article
- Use of a humanoid robot for auditory psychophysical testing.PloS one · 2023Article
- Speakers are more cooperative and less individual when interacting in larger group sizes.Frontiers in psychology · 2023Article
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Authors and funding
6 authors.
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Abstract
The ability to recognize someone's voice spans 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 learned voices with samples of speech-like phonetic variability. We have developed the Jena Voice Learning and Memory Test (JVLMT), a 22-min test based on item response theory and applicable across languages. The JVLMT consists of three phases in which participants (1) become familiarized with eight speakers, (2) revise the learned voices, and (3) perform a 3AFC recognition task, using pseudo-sentences devoid of semantic content. Acoustic (dis)similarity analyses were used to create items with various levels of difficulty. Test scores are based on 22 items which had been selected and validated based on two online studies with 232 and 454 participants, respectively. Mean accuracy in the JVLMT is 0.51 (SD = .18) with an empirical (marginal) reliability of 0.66. Correlational analyses showed high and moderate convergent validity with the Bangor Voice Matching Test (BVMT) and Glasgow Voice Memory Test (GVMT), respectively, and high discriminant validity with a digit span test. Four participants with potential super recognition abilities and seven participants with potential phonagnosia were identified who performed at least 2 SDs above or below the mean, respectively. The JVLMT is a promising research and diagnostic screening tool to detect both impairments in voice recognition and super-recognition abilities.
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