Noise and a Speaker's Impaired Voice Quality Disrupt Spoken Language Processing in School-Aged Children: Evidence From Performance and Response Time Measures

Author:

Schiller Isabel S.1ORCID,Morsomme Dominique1ORCID,Kob Malte2ORCID,Remacle Angélique13ORCID

Affiliation:

1. Faculty of Psychology, Speech Therapy, and Education Sciences, University of Liège, Belgium

2. Erich Thienhaus Institute, Detmold University of Music, Germany

3. Fund for Scientific Research (F.R.S. – FNRS), Brussels, Belgium

Abstract

Purpose Our aim was to investigate isolated and combined effects of speech-shaped noise (SSN) and a speaker's impaired voice quality on spoken language processing in first-grade children. Method In individual examinations, 53 typically developing children aged 5–6 years performed a speech perception task (phoneme discrimination) and a listening comprehension task (sentence–picture matching). Speech stimuli were randomly presented in a 2 × 2 factorial design with the factors noise (no added noise vs. SSN at 0- dB SNR) and voice quality (normal voice vs. impaired voice). Outcome measures were task performance and response time (RT). Results SSN and impaired voice quality significantly lowered children's performance and increased RTs in the speech perception task, particularly when combined. Regarding listening comprehension, a significant interaction between noise and voice quality indicated that children's performance was hindered by SSN when the speaker's voice was impaired but not when it was normal. RTs in this task were unaffected by noise or voice quality. Conclusions Results suggest that speech signal degradations caused by a speaker's impaired voice and background noise generate more processing errors and increased listening effort in young school-aged children. This finding is vital for classroom listening and highlights the importance of ensuring teachers' vocal health and adequate room acoustics.

Publisher

American Speech Language Hearing Association

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3