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注意在多说话人环境中对声学和语音特征编码的影响不同。

Attention Differentially Affects Acoustic and Phonetic Feature Encoding in a Multispeaker Environment.

机构信息

School of Engineering, Trinity Centre for Biomedical Engineering, and Trinity College Institute of Neuroscience, Trinity College, University of Dublin, Dublin 2, Ireland.

Department of Neuroscience, Department of Biomedical Engineering, and Del Monte Neuroscience Institute, University of Rochester, Rochester, New York 14627.

出版信息

J Neurosci. 2022 Jan 26;42(4):682-691. doi: 10.1523/JNEUROSCI.1455-20.2021. Epub 2021 Dec 10.

Abstract

Humans have the remarkable ability to selectively focus on a single talker in the midst of other competing talkers. The neural mechanisms that underlie this phenomenon remain incompletely understood. In particular, there has been longstanding debate over whether attention operates at an early or late stage in the speech processing hierarchy. One way to better understand this is to examine how attention might differentially affect neurophysiological indices of hierarchical acoustic and linguistic speech representations. In this study, we do this by using encoding models to identify neural correlates of speech processing at various levels of representation. Specifically, we recorded EEG from fourteen human subjects (nine female and five male) during a "cocktail party" attention experiment. Model comparisons based on these data revealed phonetic feature processing for attended, but not unattended speech. Furthermore, we show that attention specifically enhances isolated indices of phonetic feature processing, but that such attention effects are not apparent for isolated measures of acoustic processing. These results provide new insights into the effects of attention on different prelexical representations of speech, insights that complement recent anatomic accounts of the hierarchical encoding of attended speech. Furthermore, our findings support the notion that, for attended speech, phonetic features are processed as a distinct stage, separate from the processing of the speech acoustics. Humans are very good at paying attention to one speaker in an environment with multiple speakers. However, the details of how attended and unattended speech are processed differently by the brain is not completely clear. Here, we explore how attention affects the processing of the acoustic sounds of speech as well as the mapping of those sounds onto categorical phonetic features. We find evidence of categorical phonetic feature processing for attended, but not unattended speech. Furthermore, we find evidence that categorical phonetic feature processing is enhanced by attention, but acoustic processing is not. These findings add an important new layer in our understanding of how the human brain solves the cocktail party problem.

摘要

人类具有在多个说话者中选择性地专注于单个说话者的非凡能力。支持这种现象的神经机制仍不完全清楚。特别是,长期以来一直存在争议,即注意力是在言语处理层次结构的早期还是晚期起作用。更好地理解这一点的一种方法是检查注意力如何以不同的方式影响层次结构的声学和语言言语表示的神经生理指标。在这项研究中,我们通过使用编码模型来识别各种表示水平的言语处理的神经相关性来做到这一点。具体来说,我们在“鸡尾酒会”注意力实验中记录了 14 名人类受试者(9 名女性和 5 名男性)的 EEG。基于这些数据的模型比较表明,注意力可以处理受关注的语音,但不能处理不受关注的语音。此外,我们表明,注意力特别增强了孤立的语音特征处理指标,但对于孤立的声学处理指标,这种注意力效应并不明显。这些结果为注意力对言语不同的前词汇表示的影响提供了新的见解,这些见解补充了最近关于受关注言语的层次编码的解剖学解释。此外,我们的发现支持这样一种观点,即对于受关注的言语,语音特征是作为一个独立的阶段进行处理的,与言语声学的处理分开。人类非常善于在有多个说话者的环境中专注于一个说话者。然而,大脑如何以不同的方式处理受关注和不受关注的言语的细节尚不完全清楚。在这里,我们探讨注意力如何影响言语的声学声音的处理以及这些声音如何映射到分类语音特征上。我们发现,受关注的语音会进行分类语音特征处理,但不受关注的语音则不会。此外,我们发现,分类语音特征处理是由注意力增强的,但声学处理则不是。这些发现为我们理解人类大脑如何解决鸡尾酒会问题增加了一个重要的新层面。

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