National Center for Rehabilitative Auditory Research, VA Portland Health Care System, Portland, OR, USA; Department of Otolaryngology/Head & Neck Surgery, Oregon Health & Science University, Portland, OR, USA.
National Center for Rehabilitative Auditory Research, VA Portland Health Care System, Portland, OR, USA; Department of Otolaryngology/Head & Neck Surgery, Oregon Health & Science University, Portland, OR, USA.
Hear Res. 2019 Apr;375:25-33. doi: 10.1016/j.heares.2019.01.012. Epub 2019 Jan 23.
The spectral (frequency) and amplitude cues in speech change rapidly over time. Study of the neural encoding of these dynamic features may help to improve diagnosis and treatment of speech-perception difficulties. This study uses tone glides as a simple approximation of dynamic speech sounds to better our understanding of the underlying neural representation of speech. The frequency following response (FFR) was recorded from 10 young normal-hearing adults using six signals varying in glide direction (rising and falling) and extent of frequency change (13, 23, and 1 octave). In addition, the FFR was simultaneously recorded using two different electrode montages (vertical and horizontal). These factors were analyzed across three time windows using a measure of response strength (signal-to-noise ratio) and a measure of temporal coherence (stimulus-to-response correlation coefficient). Results demonstrated effects of extent, montage, and a montage-by-window interaction. SNR and stimulus-to-response correlation measures differed in their sensitivity to these factors. These results suggest that the FFR reflects dynamic acoustic characteristics of simple tonal stimuli very well. Additional research is needed to determine how neural encoding may differ for more natural dynamic speech signals and populations with impaired auditory processing.
语音的频谱(频率)和幅度线索随时间迅速变化。研究这些动态特征的神经编码可能有助于改善语音感知障碍的诊断和治疗。本研究使用音高滑音作为动态语音的简单近似,以更好地理解语音的基础神经表示。使用来自 10 名年轻正常听力成年人的六种信号记录频率跟随反应(FFR),这些信号在滑音方向(上升和下降)和频率变化程度(13、23 和 1 个八度)上有所不同。此外,使用两种不同的电极布置(垂直和水平)同时记录 FFR。使用响应强度(信噪比)和时间相干性(刺激-响应相关系数)的度量,在三个时间窗口中分析这些因素。结果表明,程度、布局和布局-窗口相互作用都有影响。SNR 和刺激-响应相关测量在对这些因素的敏感性方面存在差异。这些结果表明,FFR 很好地反映了简单音调刺激的动态声学特征。需要进一步研究以确定神经编码如何为更自然的动态语音信号以及听觉处理受损的人群而有所不同。