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韵律音高加工在 delta 频段的 EEG 中得到体现,并且与皮质对其他声学和语音特征的跟踪是可分离的。

Prosodic pitch processing is represented in delta-band EEG and is dissociable from the cortical tracking of other acoustic and phonetic features.

机构信息

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

Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA.

出版信息

Eur J Neurosci. 2019 Dec;50(11):3831-3842. doi: 10.1111/ejn.14510. Epub 2019 Aug 1.

Abstract

Speech is central to communication among humans. Meaning is largely conveyed by the selection of linguistic units such as words, phrases and sentences. However, prosody, that is the variation of acoustic cues that tie linguistic segments together, adds another layer of meaning. There are various features underlying prosody, one of the most important being pitch and how it is modulated. Recent fMRI and ECoG studies have suggested that there are cortical regions for pitch which respond primarily to resolved harmonics and that high-gamma cortical activity encodes intonation as represented by relative pitch. Importantly, this latter result was shown to be independent of the cortical tracking of the acoustic energy of speech, a commonly used measure. Here, we investigate whether we can isolate low-frequency EEG indices of pitch processing of continuous narrative speech from those reflecting the tracking of other acoustic and phonetic features. Harmonic resolvability was found to contain unique predictive power in delta and theta phase, but it was highly correlated with the envelope and tracked even when stimuli were pitch-impoverished. As such, we are circumspect about whether its contribution is truly pitch-specific. Crucially however, we found a unique contribution of relative pitch to EEG delta-phase prediction, and this tracking was absent when subjects listened to pitch-impoverished stimuli. This finding suggests the possibility of a separate processing stream for prosody that might operate in parallel to acoustic-linguistic processing. Furthermore, it provides a novel neural index that could be useful for testing prosodic encoding in populations with speech processing deficits and for improving cognitively controlled hearing aids.

摘要

言语是人类交流的核心。意义主要通过语言单位的选择来传达,如单词、短语和句子。然而,韵律,即连接语言片段的声学线索的变化,增加了另一层意义。韵律有各种特征,其中最重要的是音高及其调制方式。最近的 fMRI 和 ECoG 研究表明,大脑皮质中有专门用于处理音高的区域,这些区域主要对解析的谐波做出反应,而高伽马皮质活动则以相对音高的形式对语调进行编码。重要的是,后一个结果被证明与语音声能的皮质追踪无关,这是一种常用的测量方法。在这里,我们研究是否可以从反映其他声学和语音特征追踪的低频 EEG 指标中分离出连续叙述性语音的音高处理。谐波可分辨性在 delta 和 theta 相位中具有独特的预测能力,但它与包络高度相关,即使在刺激音高不足的情况下也能追踪到。因此,我们对其是否真的具有音高特异性持谨慎态度。然而,至关重要的是,我们发现相对音高对 EEG 德尔塔相位预测有独特的贡献,而当受试者听音高不足的刺激时,这种跟踪就不存在了。这一发现表明,可能存在一个独立的韵律处理流,与声学-语言处理并行运作。此外,它提供了一种新的神经指数,可用于测试语音处理障碍人群的韵律编码,并用于改进认知控制的助听器。

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