Does Amplitude Compression Help or Hinder Attentional Neural Speech Tracking?

IF 4 2区 医学 Q1 NEUROSCIENCES Journal of Neuroscience Pub Date : 2025-03-12 DOI:10.1523/JNEUROSCI.0238-24.2024
Martin Orf, Ronny Hannemann, Jonas Obleser
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Abstract

Amplitude compression is an indispensable feature of contemporary audio production and especially relevant in modern hearing aids. The cortical fate of amplitude-compressed speech signals is not well studied, however, and may yield undesired side effects: We hypothesize that compressing the amplitude envelope of continuous speech reduces neural tracking. Yet, leveraging such a "compression side effect" on unwanted, distracting sounds could potentially support attentive listening if effectively reducing their neural tracking. In this study, we examined 24 young normal hearing (NH) individuals, 19 older hearing-impaired (HI) individuals, and 12 older normal hearing individuals. Participants were instructed to focus on one of two competing talkers while ignoring the other. Envelope compression (1:8 ratio, loudness-matched) was applied to one or both streams containing short speech repeats. Electroencephalography allowed us to quantify the cortical response function and degree of speech tracking. With compression applied to the attended target stream, HI participants showed reduced behavioral accuracy, and compressed speech yielded generally lowered metrics of neural tracking. Importantly, we found that compressing the ignored stream resulted in a stronger neural representation of the uncompressed target speech. Our results imply that intelligent compression algorithms, with variable compression ratios applied to separated sources, could help individuals with hearing loss suppress distraction in complex multitalker environments.

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振幅压缩有助于还是阻碍注意力神经语言跟踪?
幅度压缩是当代音频制作中不可缺少的特征,在现代助听器中尤为重要。然而,幅度压缩语音信号的皮质命运尚未得到很好的研究,并且可能产生不希望的副作用:我们假设压缩连续语音的幅度包络会减少神经跟踪。然而,利用这种“压缩副作用”来消除不必要的、分散注意力的声音,如果有效地减少它们的神经追踪,可能会支持专注的倾听。在这项研究中,我们检查了24名年轻的正常听力(NH)个体,19名老年听障(HI)个体和12名老年正常听力个体。参与者被要求专注于两个互相竞争的谈话者中的一个,而忽略另一个。包络压缩(1:8比例,响度匹配)应用于一个或两个包含短语音重复的流。脑电图(EEG)允许我们量化皮质反应功能和言语跟踪程度。通过对参与的目标流进行压缩,HI参与者表现出降低的行为准确性,压缩的语音产生了普遍降低的神经跟踪指标。重要的是,我们发现压缩被忽略的流导致了对未压缩的目标语音的更强的神经表征。我们的研究结果表明,智能压缩算法,可变压缩比应用于分离源,可以帮助听力损失的个体在复杂的多人说话环境中抑制注意力分散。振幅压缩,不可或缺的当代音频制作和助听器,提出了未充分开发的皮质挑战。假设压缩连续语音的振幅包络可以减少神经跟踪。然而,利用这种“压缩副作用”来分散注意力可能会提高注意力。研究了双语情境下正常听力(NH)、老年听障(HI)和老年正常听力个体,对语音流进行了包络压缩。NH和HI参与者都表现出语音流压缩导致的神经跟踪减弱。尽管对压缩干扰物的跟踪较弱,HI个体对并发目标的神经表征较强。这表明自适应压缩算法,对不同的来源采用可变比例,可以帮助听力损失的个体在复杂的多人说话环境中抑制分心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Neuroscience
Journal of Neuroscience 医学-神经科学
CiteScore
9.30
自引率
3.80%
发文量
1164
审稿时长
12 months
期刊介绍: JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles
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