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首页> 外文期刊>Hearing Research: An International Journal >Toward a more comprehensive understanding of the impact of masker type and signal-to-noise ratio on the pupillary response while performing a speech-in-noise test
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Toward a more comprehensive understanding of the impact of masker type and signal-to-noise ratio on the pupillary response while performing a speech-in-noise test

机译:在进行语音噪声测试的同时更全面地了解屏蔽型类型和信噪比对瞳孔反应的影响

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Difficulties arising in everyday speech communication often result from the acoustical environment, which may contain interfering background noise or competing speakers. Thus, listening and understanding speech in noise can be exhausting. Two experiments are presented in the current study that further explored the impact of masker type and Signal-to-Noise Ratio (SNR) on listening effort by means of pupillometry. In both studies, pupillary responses of participants were measured while performing the Danish Hearing in Noise Test (HINT; Nielsen and Dau, 2011). The first experiment aimed to replicate and extend earlier observed effects of noise type and semantic interference on listening effort (Koelewijn et?al., 2012). The impact of three different masker types, i.e. a fluctuating noise, a 1-talker masker and a 4-talker masker on listening effort was examined at a fixed speech intelligibility. In a second experiment, effects of SNR on listening effort were examined while presenting the HINT sentences across a broad range of fixed SNRs corresponding to intelligibility scores ranging from 100% to 0% correct performance. A peak pupil dilation (PPD) was calculated and a Growth Curve Analysis (GCA) was performed to examine listening effort involved in speech recognition as a function of SNR. The results of two experiments showed that the pupil dilation response is highly affected by both masker type and SNR when performing the HINT. The PPD was highest, suggesting the highest level of effort, for speech recognition in the presence of the 1-talker masker in comparison to the 4-talker babble and the fluctuating noise masker. However, the disrupting effect of one competing talker disappeared for intelligibly levels around 50%. Furthermore, it was demonstrated that the pupillary response strongly varied as a function of SNRs. Listening effort was highest for intermediate SNRs with performance accuracies ranging between 30% and 70% correct. GCA revealed time-dependent effects of the SNR on the pupillary response that were not reflected in the PPD.
机译:日常语音沟通中产生的困难通常由声学环境导致,这可能包含干扰背景噪声或竞争扬声器。因此,在噪音中聆听和理解语音可以耗尽。目前研究中提出了两个实验,进一步探索了掩蔽型和信噪比(SNR)对通过瞳孔测量的聆听努力的影响。在这两种研究中,参与者的瞳孔反应在进行噪声测试中进行丹麦语听力(提示; Nielsen和Dau,2011)。旨在复制并延伸早期的第一个实验观察到噪声类型和语义干扰对听力努力的影响(Koelewijn et?Al。,2012)。三种不同的掩蔽类型的影响,即一个波动噪声,一个讲话者掩蔽器和一个关于聆听努力的一个讲话者掩蔽剂,以固定的语音可懂度检查。在第二次实验中,检查了SNR对听力努力的影响,同时介绍了与可智能性分数相对应的广泛固定SNR的提示句,该句子范围为100%至0%正确的性能。计算峰值瞳孔扩张(PPD),并进行生长曲线分析(GCA)以检查作为SNR功能的语音识别中参与的听力努力。两个实验的结果表明,在进行提示时,瞳孔扩张响应受到掩蔽剂类型和SNR的高度影响。 PPD是最高的,建议在1个讲话者掩蔽和波动的噪声掩蔽方面存在最高的努力,用于演讲识别。然而,一个竞争对手谈判者的扰乱效果消失了,可清晰达到50%左右。此外,证明瞳孔反应与SNR的功能强烈变化。中间SNR的聆听努力最高,性能精度范围为30%至70%正确。 GCA揭示了SNR对在PPD中未反映的瞳孔反应上的时间依赖性影响。

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