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Improvements to vowel categorization in non-native regional accents resulting from multiple- versus single-talker training : a computational approach
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Wright, Sarah (S31204); Shaw, Jason (R16227); Best, Catherine T. (R11322); Docherty, Gerard; Evans, Bronwen G.; Foulkes, Paul; Hay, Jennifer; Mulak, Karen E. (R18007). - : Canberra, A.C.T., Australasian Speech Science and Technology Association, 2014
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Abstract:
A computational modeling study was conducted using multinomial logistic regression to predict whether exposure to an unfamiliar regional accent of English would influence vowel categorization in (1) the exposure accent, (2) the native accent, and (3) another unfamiliar accent. We manipulated the number of talkers in the exposure data to determine whether talker variability influenced the efficacy of the training. Results showed a multiple-talker training benefit for the categorization of some vowels. Training also transferred to an untrained accent. Finally, the models predicted that exposure to an unfamiliar accent has a negative impact on vowel categorization in the native accent.
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Keyword:
200404 - Laboratory Phonetics and Speech Science; 950201 - Communication Across Languages and Culture; English language; pronunciation; speech perception; vowels
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URL: http://handle.uws.edu.au:8081/1959.7/uws:28800 http://www.nzilbb.canterbury.ac.nz/SST.shtml
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Development of phonological constancy : 19-month-olds, but not 15-month-olds, identify words in a non-native regional accent
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First language suprasegmentally-conditioned syllable length distinctions influence perception and production of second language vowel contrasts
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L2 English learners' recogniton of words spoken in familar versus unfamiliar English accents
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