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Changes in voicing perception by adult French speakers after identification training

Published online by Cambridge University Press:  08 July 2013

GREGORY COLLET*
Affiliation:
Ecole Royale Militaire, Université Libre de Bruxelles, and Fonds de la Recherche Scientifique
CÉCILE COLIN
Affiliation:
Université Libre de Bruxelles
WILLY SERNICLAES
Affiliation:
Université Libre de Bruxelles
INGRID HOONHORST
Affiliation:
Université Libre de Bruxelles
EMILY MARKESSIS
Affiliation:
Institut Libre Marie Haps
PAUL DELTENRE
Affiliation:
Université Libre de Bruxelles
JACQUELINE LEYBAERT
Affiliation:
Université Libre de Bruxelles
*
ADDRESS FOR CORRESPONDENCE Gregory Collet, Unité de recherche en Neurosciences Cognitives and Laboratoire Cognition Langage Développement, Université Libre de Bruxelles, CP 191, 50 Avenue F. D. Roosevelt, Bruxelles 1050, Belgium. E-mail: gcollet@ulb.ac.be

Abstract

The aim of the present study was to investigate changes in voicing identification, discrimination, and categorical perception induced by identification training centered on three different training values. One group of French-speaking adults was trained across a universal auditory boundary (−30 ms voice onset time), and two other groups were trained across arbitrary boundaries (−45 or −60 ms voice onset time). A control group did not receive any training. The results showed that both the −30 and the −45 training groups exhibited a 10 ms shift in the identification boundary. Moreover, for the −30 training group, discrimination and categorical perception changed around the French phonological boundary. These results illustrate the possibility of modifying the French phonological perception after short-time training, particularly when centered on a universal boundary. However, training only had limited effects and even strengthened the phonological boundary, congruent with the hypothesis that this boundary is acquired by a perceptual “coupling” between universal boundaries.

Type
Articles
Copyright
Copyright © Cambridge University Press 2013 

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