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Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise

Vocabulary size has been suggested as a useful measure of “verbal abilities” that correlates with speech recognition scores. Knowing more words is linked to better speech recognition. How vocabulary knowledge translates to general speech recognition mechanisms, how these mechanisms relate to offline...

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Autores principales: Carroll, Rebecca, Warzybok, Anna, Kollmeier, Birger, Ruigendijk, Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930932/
https://www.ncbi.nlm.nih.gov/pubmed/27458400
http://dx.doi.org/10.3389/fpsyg.2016.00990
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author Carroll, Rebecca
Warzybok, Anna
Kollmeier, Birger
Ruigendijk, Esther
author_facet Carroll, Rebecca
Warzybok, Anna
Kollmeier, Birger
Ruigendijk, Esther
author_sort Carroll, Rebecca
collection PubMed
description Vocabulary size has been suggested as a useful measure of “verbal abilities” that correlates with speech recognition scores. Knowing more words is linked to better speech recognition. How vocabulary knowledge translates to general speech recognition mechanisms, how these mechanisms relate to offline speech recognition scores, and how they may be modulated by acoustical distortion or age, is less clear. Age-related differences in linguistic measures may predict age-related differences in speech recognition in noise performance. We hypothesized that speech recognition performance can be predicted by the efficiency of lexical access, which refers to the speed with which a given word can be searched and accessed relative to the size of the mental lexicon. We tested speech recognition in a clinical German sentence-in-noise test at two signal-to-noise ratios (SNRs), in 22 younger (18–35 years) and 22 older (60–78 years) listeners with normal hearing. We also assessed receptive vocabulary, lexical access time, verbal working memory, and hearing thresholds as measures of individual differences. Age group, SNR level, vocabulary size, and lexical access time were significant predictors of individual speech recognition scores, but working memory and hearing threshold were not. Interestingly, longer accessing times were correlated with better speech recognition scores. Hierarchical regression models for each subset of age group and SNR showed very similar patterns: the combination of vocabulary size and lexical access time contributed most to speech recognition performance; only for the younger group at the better SNR (yielding about 85% correct speech recognition) did vocabulary size alone predict performance. Our data suggest that successful speech recognition in noise is mainly modulated by the efficiency of lexical access. This suggests that older adults’ poorer performance in the speech recognition task may have arisen from reduced efficiency in lexical access; with an average vocabulary size similar to that of younger adults, they were still slower in lexical access.
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spelling pubmed-49309322016-07-25 Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise Carroll, Rebecca Warzybok, Anna Kollmeier, Birger Ruigendijk, Esther Front Psychol Psychology Vocabulary size has been suggested as a useful measure of “verbal abilities” that correlates with speech recognition scores. Knowing more words is linked to better speech recognition. How vocabulary knowledge translates to general speech recognition mechanisms, how these mechanisms relate to offline speech recognition scores, and how they may be modulated by acoustical distortion or age, is less clear. Age-related differences in linguistic measures may predict age-related differences in speech recognition in noise performance. We hypothesized that speech recognition performance can be predicted by the efficiency of lexical access, which refers to the speed with which a given word can be searched and accessed relative to the size of the mental lexicon. We tested speech recognition in a clinical German sentence-in-noise test at two signal-to-noise ratios (SNRs), in 22 younger (18–35 years) and 22 older (60–78 years) listeners with normal hearing. We also assessed receptive vocabulary, lexical access time, verbal working memory, and hearing thresholds as measures of individual differences. Age group, SNR level, vocabulary size, and lexical access time were significant predictors of individual speech recognition scores, but working memory and hearing threshold were not. Interestingly, longer accessing times were correlated with better speech recognition scores. Hierarchical regression models for each subset of age group and SNR showed very similar patterns: the combination of vocabulary size and lexical access time contributed most to speech recognition performance; only for the younger group at the better SNR (yielding about 85% correct speech recognition) did vocabulary size alone predict performance. Our data suggest that successful speech recognition in noise is mainly modulated by the efficiency of lexical access. This suggests that older adults’ poorer performance in the speech recognition task may have arisen from reduced efficiency in lexical access; with an average vocabulary size similar to that of younger adults, they were still slower in lexical access. Frontiers Media S.A. 2016-07-04 /pmc/articles/PMC4930932/ /pubmed/27458400 http://dx.doi.org/10.3389/fpsyg.2016.00990 Text en Copyright © 2016 Carroll, Warzybok, Kollmeier and Ruigendijk. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Carroll, Rebecca
Warzybok, Anna
Kollmeier, Birger
Ruigendijk, Esther
Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
title Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
title_full Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
title_fullStr Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
title_full_unstemmed Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
title_short Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
title_sort age-related differences in lexical access relate to speech recognition in noise
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930932/
https://www.ncbi.nlm.nih.gov/pubmed/27458400
http://dx.doi.org/10.3389/fpsyg.2016.00990
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