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在复杂声学场景中聆听。

Listening in complex acoustic scenes.

作者信息

King Andrew J, Walker Kerry Mm

机构信息

Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, UK.

出版信息

Curr Opin Physiol. 2020 Dec;18:63-72. doi: 10.1016/j.cophys.2020.09.001. Epub 2020 Sep 8.

Abstract

Being able to pick out particular sounds, such as speech, against a background of other sounds represents one of the key tasks performed by the auditory system. Understanding how this happens is important because speech recognition in noise is particularly challenging for older listeners and for people with hearing impairments. Central to this ability is the capacity of neurons to adapt to the statistics of sounds reaching the ears, which helps to generate noise-tolerant representations of sounds in the brain. In more complex auditory scenes, such as a cocktail party - where the background noise comprises other voices, sound features associated with each source have to be grouped together and segregated from those belonging to other sources. This depends on precise temporal coding and modulation of cortical response properties when attending to a particular speaker in a multi-talker environment. Furthermore, the neural processing underlying auditory scene analysis is shaped by experience over multiple timescales.

摘要

能够在其他声音的背景中分辨出特定的声音,比如语音,是听觉系统执行的关键任务之一。了解这一过程是如何发生的很重要,因为在噪声环境中进行语音识别对年长的听众和听力受损的人来说尤其具有挑战性。这种能力的核心是神经元适应传入耳朵声音统计特征的能力,这有助于在大脑中生成对声音的抗噪表征。在更复杂的听觉场景中,比如鸡尾酒会——背景噪声包含其他声音——与每个声源相关的声音特征必须被归为一组,并与属于其他声源的特征区分开来。这取决于在多说话者环境中关注特定说话者时,皮质反应特性的精确时间编码和调制。此外,听觉场景分析背后的神经处理过程在多个时间尺度上受到经验的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e8/7116612/08a8d9d93b52/EMS110166-f001.jpg

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