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Talker and Acoustic Variability in Learning to Produce Nonnative Sounds

Evidence from Articulatory Training

Bibliographic Data

ID7900613
AuthorsNatalia Kartushina (0000-0003-4650-5832, University of Oslo, corresponding author), Cathy D Martins (0000-0003-2701-5045, Ikerbasque), Clara D Martin (Basque Center on Cognition, Brain and Language)
Year2019
Volume69
Issue1
Pages71-105
Publication date2019-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage Learning (JOURNAL)
Journal identifiersISSN: 0023-8333 • E-ISSN: 1467-9922
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lang.12315
OpenAlexW2889126050
LanguageEN
Citations received10
References cited50

Compared to low‐variability training, high‐variability training leads to better learning outcomes and supports generalization of learning. However, it is unclear whether the learning advantage is driven by multiple talkers or by enhanced acoustic variability across target sounds. The current study addressed this issue in nonnative production learning. Spanish speakers were trained to produce the French /e/–/ɛ/ vowel contrast. The stimuli were recorded by five native French talkers for the multiple‐talker (MT) group or by one talker for the single‐talker (ST) group, but acoustic dispersion of the vowels and context were matched between the two groups. Both training paradigms improved production accuracy, with slightly greater improvement in the ST group. However, only MT training enhanced the compactness of vowel categories and generalized to the production of sounds elicited by an unfamiliar speaker. This suggests that talker variability supports the establishment of abstract phonemic categories in production

Audiology · Context (archaeology) · Generalization · Speech production · Speech recognition · Training (meteorology) · Vowel · Computer Science · Language Development and Disorders · Linguistic Variation and Morphology · Mathematics · Phonetics and Phonology Research · Psychology

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Unique citing works10
Citations per year2
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 10

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