Literature DB >> 20649239

Individual variability in cue-weighting and lexical tone learning.

Bharath Chandrasekaran1, Padma D Sampath, Patrick C M Wong.   

Abstract

Speech sound patterns can be discerned using multiple acoustic cues. The relative weighting of these cues is known to be language-specific. Speech-sound training in adults induces changes in cue-weighting such that relevant acoustic cues are emphasized. In the current study, the extent to which individual variability in cue weighting contributes to differential success in learning to use foreign sound patterns was examined. Sixteen English-speaking adult participants underwent a sound-to-meaning training paradigm, during which they learned to incorporate Mandarin linguistic pitch contours into words. In addition to cognitive tests, measures of pitch pattern discrimination and identification were collected from all participants. Reaction time data from the discrimination task was subjected to 3-way multidimensional scaling to extract dimensions underlying tone perception. Two dimensions relating to pitch height and pitch direction were found to underlie non-native tone space. Good learners attended more to pitch direction relative to poor learners, before and after training. Training increased the ability to identify and label pitch direction. The results demonstrate that variability in the ability to successfully learn to use pitch in lexical contexts can be explained by pre-training differences in cue-weighting.

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Year:  2010        PMID: 20649239      PMCID: PMC2921440          DOI: 10.1121/1.3445785

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  28 in total

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5.  Attention and learning processes in the identification and categorization of integral stimuli.

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Journal:  J Exp Psychol Learn Mem Cogn       Date:  1987-01       Impact factor: 3.051

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Journal:  J Acoust Soc Am       Date:  1993-09       Impact factor: 1.840

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Journal:  J Acoust Soc Am       Date:  1996-02       Impact factor: 1.840

8.  Perceived dimensions of 13 tones: a multidimensional scaling investigation.

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Journal:  Phonetica       Date:  1978       Impact factor: 1.759

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Authors:  Bharath Chandrasekaran; Jackson T Gandour; Ananthanarayan Krishnan
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Authors:  Edith Kaan; Ratree Wayland; Mingzhen Bao; Christopher M Barkley
Journal:  Brain Res       Date:  2007-02-21       Impact factor: 3.252

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  41 in total

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Journal:  J Neurophysiol       Date:  2011-11-30       Impact factor: 2.714

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4.  The Role of Corticostriatal Systems in Speech Category Learning.

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5.  Performance Pressure Enhances Speech Learning.

Authors:  W Todd Maddox; Seth Koslov; Han-Gyol Yi; Bharath Chandrasekaran
Journal:  Appl Psycholinguist       Date:  2015-12-23

6.  White matter anisotropy in the ventral language pathway predicts sound-to-word learning success.

Authors:  Francis C K Wong; Bharath Chandrasekaran; Kyla Garibaldi; Patrick C M Wong
Journal:  J Neurosci       Date:  2011-06-15       Impact factor: 6.167

7.  Auditory categories with separable decision boundaries are learned faster with full feedback than with minimal feedback.

Authors:  Han Gyol Yi; Bharath Chandrasekaran
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

8.  Plasticity in second language learning: The case of Mandarin tones.

Authors:  Tianlin Wang; Christine E Potter; Jenny R Saffran
Journal:  Lang Learn Dev       Date:  2020-03-22

9.  Stimulus-dependent flexibility in non-human auditory pitch processing.

Authors:  Micah R Bregman; Aniruddh D Patel; Timothy Q Gentner
Journal:  Cognition       Date:  2011-09-10

10.  Dual-learning systems during speech category learning.

Authors:  Bharath Chandrasekaran; Han-Gyol Yi; W Todd Maddox
Journal:  Psychon Bull Rev       Date:  2014-04
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