953
Views
57
CrossRef citations to date
0
Altmetric
Original Article

Individual differences in language and working memory affect children’s speech recognition in noise

ORCID Icon, , & ORCID Icon
Pages 306-315 | Received 06 May 2016, Accepted 26 Nov 2016, Published online: 16 Dec 2016
 

Abstract

Objective: We examined how cognitive and linguistic skills affect speech recognition in noise for children with normal hearing. Children with better working memory and language abilities were expected to have better speech recognition in noise than peers with poorer skills in these domains. Design: As part of a prospective, cross-sectional study, children with normal hearing completed speech recognition in noise for three types of stimuli: (1) monosyllabic words, (2) syntactically correct but semantically anomalous sentences and (3) semantically and syntactically anomalous word sequences. Measures of vocabulary, syntax and working memory were used to predict individual differences in speech recognition in noise. Study sample: Ninety-six children with normal hearing, who were between 5 and 12 years of age. Results: Higher working memory was associated with better speech recognition in noise for all three stimulus types. Higher vocabulary abilities were associated with better recognition in noise for sentences and word sequences, but not for words. Conclusions: Working memory and language both influence children’s speech recognition in noise, but the relationships vary across types of stimuli. These findings suggest that clinical assessment of speech recognition is likely to reflect underlying cognitive and linguistic abilities, in addition to a child’s auditory skills, consistent with the Ease of Language Understanding model.

Acknowledgements

Preliminary data for this manuscript were presented at the 2014 Annual Scientific and Technology Conference of the American Auditory Society. This work was supported by grants from NIH-NIDCD (R03 DC012635, R01 DC013591, P30 DC004662, T32 DC000013). The authors wish to thank Ellen Hatala and Kris Fernau for help with data collection and development of Figures.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article. This work was supported by grants from NIH-NIDCD (R03 DC012635, R01 DC013591, P30 DC004662, T32 DC000013).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 194.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.