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The effects of selective attention and speech acoustics on neural speech-tracking in a multi-talker scene

机译:选择性注意和语音声学对多说话者场景中神经语音跟踪的影响

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Attending to one speaker in multi-speaker situations is challenging. One neural mechanism proposed to underlie the ability to attend to a particular speaker is phase-locking of low-frequency activity in auditory cortex to speech's temporal envelope ("speech-tracking"), which is more precise for attended speech. However, it is not known what brings about this attentional effect, and specifically if it reflects enhanced processing of the fine structure of attended speech. To investigate this question we compared attentional effects on speech-tracking of natural versus vocoded speech which preserves the temporal envelope but removes the fine structure of speech. Pairs of natural and vocoded speech stimuli were presented concurrently and participants attended to one stimulus and performed a detection task while ignoring the other stimulus. We recorded magnetoencephalography (MEG) and compared attentional effects on the speech-tracking response in auditory cortex. Speech-tracking of natural, but not vocoded, speech was enhanced by attention, whereas neural tracking of ignored speech was similar for natural and vocoded speech. These findings suggest that the more precise speech-tracking of attended natural speech is related to processing its fine structure, possibly reflecting the application of higher-order linguistic processes. In contrast, when speech is unattended its fine structure is not processed to the same degree and thus elicits less precise speech-tracking more similar to vocoded speech. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在多人发言的情况下出席一位发言者是具有挑战性的。被提议作为出席特定讲话者能力的基础的一种神经机制是听觉皮层中低频活动与语音的时间包络的锁相(“语音跟踪”),这对于参与语音而言更为精确。但是,尚不清楚是什么引起了这种注意效果,特别是它是否反映了对出席语音的精细结构的增强处理。为了研究这个问题,我们比较了自然语音和声码语音对语音跟踪的注意效果,该效果保留了时间包络,但消除了语音的精细结构。同时提供了自然和语音编码对,参与者参加了一个刺激并执行了检测任务,而忽略了另一个刺激。我们记录了脑磁图(MEG),并比较了听觉皮层语音跟踪反应中的注意作用。注意力增强了自然语音而不是语音编码语音的语音跟踪,而自然语音和语音编码语音的神经跟踪则类似。这些发现表明,参与的自然语音的更精确的语音跟踪与处理其精细结构有关,可能反映了高阶语言过程的应用。相反,当无人看管语音时,其精细结构不会得到相同程度的处理,因此会引起不太精确的语音跟踪,而更类似于声码语音。 (C)2015 Elsevier Ltd.保留所有权利。

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