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瑞典海林任务及其与工作记忆、语言能力和噪声环境下语音识别的关系。

The Swedish Hayling task, and its relation to working memory, verbal ability, and speech-recognition-in-noise.

作者信息

Stenbäck Victoria, Hällgren Mathias, Lyxell Björn, Larsby Birgitta

机构信息

Technical Audiology, Department of Clinical and Experimental Medicine, Linköping University, Sweden; Linnaeus Centre HEAD, Linköping University, Linköping, Sweden.

出版信息

Scand J Psychol. 2015 Jun;56(3):264-72. doi: 10.1111/sjop.12206. Epub 2015 Mar 27.

Abstract

Cognitive functions and speech-recognition-in-noise were evaluated with a cognitive test battery, assessing response inhibition using the Hayling task, working memory capacity (WMC) and verbal information processing, and an auditory test of speech recognition. The cognitive tests were performed in silence whereas the speech recognition task was presented in noise. Thirty young normally-hearing individuals participated in the study. The aim of the study was to investigate one executive function, response inhibition, and whether it is related to individual working memory capacity (WMC), and how speech-recognition-in-noise relates to WMC and inhibitory control. The results showed a significant difference between initiation and response inhibition, suggesting that the Hayling task taps cognitive activity responsible for executive control. Our findings also suggest that high verbal ability was associated with better performance in the Hayling task. We also present findings suggesting that individuals who perform well on tasks involving response inhibition, and WMC, also perform well on a speech-in-noise task. Our findings indicate that capacity to resist semantic interference can be used to predict performance on speech-in-noise tasks.

摘要

使用一套认知测试组合评估认知功能和噪声环境下的语音识别能力,通过海林任务评估反应抑制能力、工作记忆容量(WMC)和言语信息处理能力,并进行语音识别的听觉测试。认知测试在安静环境中进行,而语音识别任务在噪声环境中呈现。30名听力正常的年轻个体参与了该研究。该研究的目的是调查一种执行功能——反应抑制,以及它是否与个体工作记忆容量(WMC)相关,以及噪声环境下的语音识别与WMC和抑制控制之间的关系。结果显示启动和反应抑制之间存在显著差异,这表明海林任务挖掘了负责执行控制的认知活动。我们的研究结果还表明,高语言能力与在海林任务中的更好表现相关。我们还呈现了一些研究结果,表明在涉及反应抑制和WMC的任务中表现良好的个体,在噪声语音任务中也表现良好。我们的研究结果表明,抵抗语义干扰的能力可用于预测噪声语音任务的表现。

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