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Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138676/ https://www.ncbi.nlm.nih.gov/pubmed/35624946 http://dx.doi.org/10.3390/brainsci12050559 |
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author | Liu, Liquan Yuan, Chi Ong, Jia Hoong Tuninetti, Alba Antoniou, Mark Cutler, Anne Escudero, Paola |
author_facet | Liu, Liquan Yuan, Chi Ong, Jia Hoong Tuninetti, Alba Antoniou, Mark Cutler, Anne Escudero, Paola |
author_sort | Liu, Liquan |
collection | PubMed |
description | As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. |
format | Online Article Text |
id | pubmed-9138676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91386762022-05-28 Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting Liu, Liquan Yuan, Chi Ong, Jia Hoong Tuninetti, Alba Antoniou, Mark Cutler, Anne Escudero, Paola Brain Sci Article As many distributional learning (DL) studies have shown, adult listeners can achieve discrimination of a difficult non-native contrast after a short repetitive exposure to tokens falling at the extremes of that contrast. Such studies have shown using behavioural methods that a short distributional training can induce perceptual learning of vowel and consonant contrasts. However, much less is known about the neurological correlates of DL, and few studies have examined non-native lexical tone contrasts. Here, Australian-English speakers underwent DL training on a Mandarin tone contrast using behavioural (discrimination, identification) and neural (oddball-EEG) tasks, with listeners hearing either a bimodal or a unimodal distribution. Behavioural results show that listeners learned to discriminate tones after both unimodal and bimodal training; while EEG responses revealed more learning for listeners exposed to the bimodal distribution. Thus, perceptual learning through exposure to brief sound distributions (a) extends to non-native tonal contrasts, and (b) is sensitive to task, phonetic distance, and acoustic cue-weighting. Our findings have implications for models of how auditory and phonetic constraints influence speech learning. MDPI 2022-04-27 /pmc/articles/PMC9138676/ /pubmed/35624946 http://dx.doi.org/10.3390/brainsci12050559 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Liquan Yuan, Chi Ong, Jia Hoong Tuninetti, Alba Antoniou, Mark Cutler, Anne Escudero, Paola Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting |
title | Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting |
title_full | Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting |
title_fullStr | Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting |
title_full_unstemmed | Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting |
title_short | Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting |
title_sort | learning to perceive non-native tones via distributional training: effects of task and acoustic cue weighting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138676/ https://www.ncbi.nlm.nih.gov/pubmed/35624946 http://dx.doi.org/10.3390/brainsci12050559 |
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