Evidence map›Paper›PMID 35624946›Full record

ArticleBrain sciences2022

Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting.

Liquan Liu, Chi Yuan, Jia Hoong Ong, Alba Tuninetti, Mark Antoniou, Anne Cutler, Paola Escudero

Abstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Liquan LiuThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0001-8671-5098
Chi YuanThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.
Jia Hoong OngThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0003-1503-8311
Alba TuninettiThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0002-0087-7756
Mark AntoniouThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0001-7735-573X
Anne CutlerThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0002-4203-0692
Paola EscuderoThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, NSW 2145, Australia.ORCID 0000-0002-8071-7663

Funding

Australian Research Council DP130102181Australian Research Council DP140104389Australian Research Council DP190103067Australian Research Council, Centre of Excellence for the Dynamics of Language CE140100041Australian Research Council, Future Fellowship FT160100514China Scholarship Council Grant 201706695047European Union Horizon 2020 research and innovation programme under Marie Skłodow-ska-Curie grant 798658Research Council of Norway through Center of Excellence funding grant 223265
6 · The paper itself

Abstract

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.

Indexed as

acoustic cue-weightingdiscriminationdistributional learningidentificationoddball-EEGphonetic distancetone

Identifiers

PMID35624946
PMCPMC9138676

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.