Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana, USA.
Department of Communication Sciences and Disorders, University of Iowa, Iowa City, Iowa, USA.
Ear Hear. 2022 May/Jun;43(3):849-861. doi: 10.1097/AUD.0000000000001144.
Despite the widespread use of noise reduction (NR) in modern digital hearing aids, our neurophysiological understanding of how NR affects speech-in-noise perception and why its effect is variable is limited. The current study aimed to (1) characterize the effect of NR on the neural processing of target speech and (2) seek neural determinants of individual differences in the NR effect on speech-in-noise performance, hypothesizing that an individual's own capability to inhibit background noise would inversely predict NR benefits in speech-in-noise perception.
Thirty-six adult listeners with normal hearing participated in the study. Behavioral and electroencephalographic responses were simultaneously obtained during a speech-in-noise task in which natural monosyllabic words were presented at three different signal-to-noise ratios, each with NR off and on. A within-subject analysis assessed the effect of NR on cortical evoked responses to target speech in the temporal-frontal speech and language brain regions, including supramarginal gyrus and inferior frontal gyrus in the left hemisphere. In addition, an across-subject analysis related an individual's tolerance to noise, measured as the amplitude ratio of auditory-cortical responses to target speech and background noise, to their speech-in-noise performance.
At the group level, in the poorest signal-to-noise ratio condition, NR significantly increased early supramarginal gyrus activity and decreased late inferior frontal gyrus activity, indicating a switch to more immediate lexical access and less effortful cognitive processing, although no improvement in behavioral performance was found. The across-subject analysis revealed that the cortical index of individual noise tolerance significantly correlated with NR-driven changes in speech-in-noise performance.
NR can facilitate speech-in-noise processing despite no improvement in behavioral performance. Findings from the current study also indicate that people with lower noise tolerance are more likely to get more benefits from NR. Overall, results suggest that future research should take a mechanistic approach to NR outcomes and individual noise tolerance.
尽管现代数字助听器已广泛使用降噪(NR)技术,但我们对 NR 如何影响言语感知以及其效果为何具有变异性的神经生理学理解仍有限。本研究旨在:(1)描述 NR 对目标言语神经处理的影响;(2)寻求 NR 对言语感知中噪声影响的个体差异的神经决定因素,假设个体自身抑制背景噪声的能力将反预测 NR 对言语感知的益处。
36 名听力正常的成年参与者参加了本研究。在言语感知任务中,同时获取行为和脑电图反应,其中自然单音节词在三种不同信噪比下呈现,NR 开启和关闭。在一项基于个体的分析中,评估了 NR 对颞额言语和语言脑区皮质诱发反应的影响,包括左半球的缘上回和额下回。此外,一项基于个体的分析将个体对噪声的容忍度(以目标言语和背景噪声的听觉皮质反应幅度比来衡量)与他们的言语感知表现联系起来。
在群体水平上,在最差信噪比条件下,NR 显著增加了早期缘上回活动,减少了晚期额下回活动,表明更直接的词汇访问和更少的认知处理努力,尽管行为表现没有改善。跨个体分析显示,个体噪声容忍度的皮质指数与 NR 驱动的言语感知表现变化显著相关。
尽管行为表现没有改善,NR 仍能促进言语感知处理。本研究的结果还表明,噪声容忍度较低的人更有可能从 NR 中获得更多益处。总体而言,结果表明未来的研究应采取机制方法来研究 NR 结果和个体噪声容忍度。