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首页> 外文期刊>Frontiers in Psychology >Cognitive Processing Speed, Working Memory, and the Intelligibility of Hearing Aid-Processed Speech in Persons with Hearing Impairment
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Cognitive Processing Speed, Working Memory, and the Intelligibility of Hearing Aid-Processed Speech in Persons with Hearing Impairment

机译:听力障碍人士的认知处理速度,工作记忆和助听器语音的清晰度

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摘要

Previous studies have demonstrated that successful listening with advanced signal processing in digital hearing aids is associated with individual cognitive capacity, particularly working memory capacity (WMC). This study aimed to examine the relationship between cognitive abilities (cognitive processing speed and WMC) and individual listeners’ responses to digital signal processing settings in adverse listening conditions. A total of 194 native Swedish speakers (83 women and 111 men), aged 33–80 years (mean = 60.75 years, SD = 8.89), with bilateral, symmetrical mild to moderate sensorineural hearing loss who had completed a lexical decision speed test (measuring cognitive processing speed) and semantic word-pair span test (SWPST, capturing WMC) participated in this study. The Hagerman test (capturing speech recognition in noise) was conducted using an experimental hearing aid with three digital signal processing settings: (1) linear amplification without noise reduction (NoP), (2) linear amplification with noise reduction (NR), and (3) non-linear amplification without NR (“fast-acting compression”). The results showed that cognitive processing speed was a better predictor of speech intelligibility in noise, regardless of the types of signal processing algorithms used. That is, there was a stronger association between cognitive processing speed and NR outcomes and fast-acting compression outcomes (in steady state noise). We observed a weaker relationship between working memory and NR, but WMC did not relate to fast-acting compression. WMC was a relatively weaker predictor of speech intelligibility in noise. These findings might have been different if the participants had been provided with training and or allowed to acclimatize to binary masking noise reduction or fast-acting compression.
机译:先前的研究表明,在数字助听器中使用高级信号处理来成功聆听与个人认知能力,尤其是工作记忆能力(WMC)有关。这项研究旨在研究认知能力(认知处理速度和WMC)与个人听众在不利聆听条件下对数字信号处理设置的反应之间的关系。共有194位瑞典语母语人士(83位女性和111位男性),年龄33-80岁(平均= 60.75岁,SD = 8.89),双侧对称性轻度至中度感音神经性听力损失,已完成词汇决策速度测试(测量认知处理速度)和语义词对跨度测试(SWPST,捕获WMC)参加了这项研究。使用具有三个数字信号处理设置的实验助听器进行Hagerman测试(捕获噪声中的语音识别):( 1)不降低噪音(NoP)的线性放大,(2)不降低噪音(NR)的线性放大和( 3)不带NR的非线性放大(“速效压缩”)。结果表明,无论使用哪种信号处理算法,认知处理速度都是更好地预测噪声中语音清晰度的指标。也就是说,认知处理速度和NR结果与快速作用的压缩结果(稳态噪声)之间存在更强的关联。我们观察到工作记忆与NR之间的关系较弱,但是WMC与快速压缩无关。 WMC是语音中语音清晰度的相对较弱的预测器。如果对参与者进行了培训,或者使他们适应了二进制掩蔽降噪或速效压缩,那么这些发现可能会有所不同。

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