Eckert Mark A, Matthews Lois J, Vaden Kenneth I, Dubno Judy R
Hearing Research Program, Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston.
Department of Otolaryngology-Head and Neck Surgery, Columbia University, New York, NY.
J Speech Lang Hear Res. 2024 Dec 9;67(12):4811-4828. doi: 10.1044/2024_JSLHR-24-00333. Epub 2024 Oct 30.
Speech recognition in noise is challenging for listeners and appears to require support from executive functions to focus attention on rapidly unfolding target speech, track misunderstanding, and sustain attention. The current study was designed to test the hypothesis that lower executive function abilities explain poorer speech recognition in noise, including among older participants with hearing loss who often exhibit diminished speech recognition in noise and cognitive abilities.
A cross-sectional sample of 400 younger-to-older adult participants (19 to < 90 years of age) from the community-based Medical University of South CarolinaLongitudinal Cohort Study of Age-related Hearing Loss were administered tasks with executive control demands to assess individual variability in a card-sorting measure of set-shifting/performance monitoring, a dichotic listening measure of selective attention/working memory, sustained attention, and processing speed. Key word recognition in the high- and low-context speech perception-in-noise (SPIN) tests provided measures of speech recognition in noise. The SPIN scores were adjusted for audibility using the Articulation Index to characterize the impact of varied hearing sensitivity unrelated to reduced audibility on cognitive and speech recognition associations.
Set-shifting, dichotic listening, and processing speed each explained unique and significant variance in audibility-adjusted, low-context SPIN scores (s < .001), including after controlling for age, pure-tone threshold average (PTA), sex, and education level. The dichotic listening and processing speed effect sizes were significantly diminished when controlling for PTA, indicating that participants with poorer hearing sensitivity were also likely to have lower executive function and lower audibility-adjusted speech recognition.
Poor set-shifting/performance monitoring, slow processing speed, and poor selective attention/working memory appeared to partially explain difficulties with speech recognition in noise after accounting for audibility. These results are consistent with the premise that distinct executive functions support speech recognition in noise.
在噪声环境下进行语音识别对听众来说具有挑战性,而且似乎需要执行功能的支持,以便将注意力集中在快速展开的目标语音上,跟踪误解情况,并维持注意力。本研究旨在检验以下假设:较低的执行功能能力会导致在噪声环境下语音识别能力较差,在经常表现出噪声环境下语音识别能力和认知能力下降的老年听力损失参与者中也是如此。
从南卡罗来纳医科大学基于社区的年龄相关性听力损失纵向队列研究中选取了400名年龄从青年到老年的成年参与者(19岁至未满90岁),对他们进行具有执行控制要求的任务,以评估个体在卡片分类任务中集合转换/绩效监测、双耳分听任务中选择性注意/工作记忆、持续注意力和处理速度方面的变异性。在高语境和低语境语音噪声感知(SPIN)测试中的关键词识别提供了噪声环境下语音识别的测量指标。使用清晰度指数对SPIN分数进行可听度调整,以表征与可听度降低无关的不同听力敏感度对认知和语音识别关联的影响。
集合转换、双耳分听和处理速度各自在经可听度调整的低语境SPIN分数中解释了独特且显著的方差(s <.001),包括在控制了年龄、纯音阈值平均值(PTA)、性别和教育水平之后。在控制PTA时,双耳分听和处理速度的效应量显著减小,这表明听力敏感度较差的参与者也可能具有较低的执行功能和经可听度调整后的语音识别能力。
在考虑可听度之后,较差的集合转换/绩效监测、较慢的处理速度以及较差的选择性注意/工作记忆似乎部分解释了在噪声环境下语音识别的困难。这些结果与不同的执行功能支持在噪声环境下语音识别这一前提一致。