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1
Does high talker variability improve the learning of non-native phoneme contrasts? A replication ...
Brekelmans, Gwen. - : Open Science Framework, 2022
Abstract: Acquiring non-native speech contrasts can be difficult. A seminal study by Logan, Lively and Pisoni (1991) established the effectiveness of phonetic training for improving non-native speech perception: Japanese learners of English were trained to perceive /r/-/l/ using minimal pairs over 15 training sessions. A pre/post-test design established learning and generalisation. In a follow up study, Lively, Logan and Pisoni (1993) presented further evidence which suggested that talker variability in training stimuli was crucial in leading to greater generalisation. These findings have been very influential and “high variability phonetic training” is now a standard methodology in the field. However, while the general benefit of phonetic training is well replicated, the evidence for an advantage of high over lower variability training remains mixed. We propose a large-scale replication of the original studies using updated statistical analyses to confirm whether learners generalise more after phonetic training using ...
Keyword: Cognition and Perception; Cognitive Psychology; Experimental Analysis of Behavior; First and Second Language Acquisition; FOS Languages and literature; FOS Psychology; high variability phonetic training; Linguistics; phonetic training; Psychology; Social and Behavioral Sciences; speech perception; talker variability
URL: https://osf.io/zjsca/
https://dx.doi.org/10.17605/osf.io/zjsca
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2
Variability in phonetic training - NL learners trained on EN vowels ...
Brekelmans, Gwen; Wonnacott, Elizabeth; Evans, Bronwen. - : Open Science Framework, 2020
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3
Phonetics for Word Monitoring Manual ...
Brekelmans, Gwen; Meitanis, Vanessa. - : Open Science Framework, 2020
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4
Sinkeviciute, Brown, Breklemans & Wonnacott - submitted 2018 ...
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Variability in phonetic training - NL learners trained on EN vowels ...
Brekelmans, Gwen; Wonnacott, Elizabeth. - : Open Science Framework, 2017
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