Eriksholm Research Centre, Oticon A/S, Snekkersten, Denmark.
Hearing Sciences-Scottish Section, Division of Clinical Neuroscience, University of Nottingham, Glasgow, United Kingdom.
Ear Hear. 2021;42(6):1590-1601. doi: 10.1097/AUD.0000000000001050.
The investigation of auditory cognitive processes recently moved from strictly controlled, trial-based paradigms toward the presentation of continuous speech. This also allows the investigation of listening effort on larger time scales (i.e., sustained listening effort). Here, we investigated the modulation of sustained listening effort by a noise reduction algorithm as applied in hearing aids in a listening scenario with noisy continuous speech. The investigated directional noise reduction algorithm mainly suppresses noise from the background.
We recorded the pupil size and the EEG in 22 participants with hearing loss who listened to audio news clips in the presence of background multi-talker babble noise. We estimated how noise reduction (off, on) and signal-to-noise ratio (SNR; +3 dB, +8 dB) affect pupil size and the power in the parietal EEG alpha band (i.e., parietal alpha power) as well as the behavioral performance.
Our results show that noise reduction reduces pupil size, while there was no significant effect of the SNR. It is important to note that we found interactions of SNR and noise reduction, which suggested that noise reduction reduces pupil size predominantly under the lower SNR. Parietal alpha power showed a similar yet nonsignificant pattern, with increased power under easier conditions. In line with the participants' reports that one of the two presented talkers was more intelligible, we found a reduced pupil size, increased parietal alpha power, and better performance when people listened to the more intelligible talker.
We show that the modulation of sustained listening effort (e.g., by hearing aid noise reduction) as indicated by pupil size and parietal alpha power can be studied under more ecologically valid conditions. Mainly concluded from pupil size, we demonstrate that hearing aid noise reduction lowers sustained listening effort. Our study approximates to real-world listening scenarios and evaluates the benefit of the signal processing as can be found in a modern hearing aid.
听觉认知过程的研究最近从严格控制的、基于试验的范式转向了连续语音的呈现。这也允许在更大的时间尺度上(即持续聆听努力)研究聆听努力。在这里,我们研究了在嘈杂的连续语音聆听场景中,助听器中应用的降噪算法对持续聆听努力的调制。所研究的定向降噪算法主要抑制背景噪声。
我们记录了 22 名听力损失参与者在存在背景多说话者背景噪声的情况下收听音频新闻片段时的瞳孔大小和 EEG。我们估计了降噪(关、开)和信噪比(+3dB、+8dB)如何影响瞳孔大小和顶叶 EEG 阿尔法频段的功率(即顶叶阿尔法功率)以及行为表现。
我们的结果表明,降噪会减小瞳孔大小,而信噪比没有显著影响。需要注意的是,我们发现了信噪比和降噪的相互作用,这表明在较低的信噪比下,降噪主要降低了瞳孔大小。顶叶阿尔法功率表现出类似但不显著的模式,在较容易的条件下功率增加。与参与者报告的两个说话者中的一个更清晰的情况一致,我们发现当人们听更清晰的说话者时,瞳孔更小、顶叶阿尔法功率增加、表现更好。
我们表明,瞳孔大小和顶叶阿尔法功率可以研究持续聆听努力的调制(例如,通过助听器降噪),这些调制可以在更具生态有效性的条件下进行。主要从瞳孔大小得出的结论是,我们证明了助听器降噪降低了持续聆听努力。我们的研究接近现实世界的聆听场景,并评估了现代助听器中信号处理的益处。