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首页> 外文期刊>Hearing Research: An International Journal >Cortical auditory responses index the contributions of different RMS-level-dependent segments to speech intelligibility
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Cortical auditory responses index the contributions of different RMS-level-dependent segments to speech intelligibility

机译：皮质听觉响应对不同RMS级依赖段的贡献对语音可懂度进行贡献

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摘要

Previous behavioral and neurophysiological studies indicated that the use of an appropriate segmentation method to parse speech streams into meaningful chunks is of vital importance for the examination of sentence perception and intelligibility. Researchers have recently proposed speech segmentation methods employing the relative root-mean-square (RMS) intensity to separate sentences into segments with distinct intelligibility information. However, the effects of different RMS-level segments containing distinct intelligibility information on neural oscillations are not clear. Using scalp-recorded electroencephalography (EEG) data, we investigated the hypothesis that perceptual responses to different RMSlevel-dependent speech segments would have distinct EEG characteristics derived from the power values at each frequency band and the relationship between acoustics and neural oscillations at different response time and spatial distribution. We analyzed the EEG power and synchronized neural oscillations corresponding to auditory temporal fluctuations when subjects listened to Mandarin sentences with only high-RMS-level segments and only middle-RMS-level segments preserved, respectively. The results showed significantly stronger EEG spectral power in the delta and theta bands for high-RMS-level stimuli compared with middle-RMS-level stimuli, indicating that the former carry more speech-parsing information at the syllabic level. Differences in neural synchronization were also found between the high- and middle-RMS-level stimuli, allowing for the derivation of intelligibility indices for cortical responses corresponding to different RMS-level segments. These findings suggest that both high- and middle-RMS-level segments drive delta and theta rhythms to track stimuli, and that neural oscillations employ different tracking patterns for these two segment types during auditory sentence processing. Moreover, they suggest that neural oscillations can serve as effective indices for the identification of reliable intelligibility factors in RMS-level-dependent stimuli. (C) 2019 Elsevier B.V. All rights reserved.
机译：以前的行为和神经生理学研究表明，使用适当的分段方法将语音流解析为有意义的块，对句子感知和可懂度进行检查至关重要。研究人员最近提出了采用相对根均方（RMS）强度的语音分割方法，将句子分成具有不同可懂度信息的段。然而，不同RMS级段的效果包含关于神经振荡的不同可懂度信息的效果尚不清楚。使用头皮录制的脑电图（EEG）数据，我们研究了对不同RMSLEVEL依赖性语音段的感知响应的假设将具有从每个频带的功率值以及不同响应时间的声学和神经振荡之间的关系的不同的EEG特征。和空间分布。我们分析了对应于听觉时间波动的EEG功率和同步神经振荡，当时仅具有高RMS级段的普通话句子，并且仅保留中rms级段。结果表明，与中间RMS级刺激相比，Delta和Theta频段中的eEG谱功率明显强大，表明前者在音节水平上携带更多语音解析信息。在高rms级刺激之间也发现了神经同步的差异，允许对对应于不同的rms级段的皮质响应的可智能性索引来实现。这些发现表明，高级和中RMS级别段驱动Δ和θ节奏跟踪刺激，并且在听觉句子处理期间，神经振荡在这两个段类型中采用不同的跟踪模式。此外，他们表明神经振荡可以作为识别RMS级依赖刺激中可靠的可明智性因子的有效指标。 （c）2019年Elsevier B.V.保留所有权利。

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