Cucu M Oana, Kazanina Nina, Houghton Conor
Department of Computer Science, University of Bristol, Bristol, United Kingdom.
School of Psychological Sciences, University of Bristol, Bristol, United Kingdom.
Front Neurosci. 2022 Jun 14;16:826105. doi: 10.3389/fnins.2022.826105. eCollection 2022.
Neural entrainment to speech appears to rely on syllabic features, especially those pertaining to the acoustic envelope of the stimuli. It has been proposed that the neural tracking of speech depends on the phoneme features. In the present electroencephalography experiment, we examined data from 25 participants to investigate neural entrainment to near-isochronous stimuli comprising syllables beginning with different phonemes. We measured the inter-trial phase coherence of neural responses to these stimuli and assessed the relationship between this coherence and acoustic properties of the stimuli designed to quantify their "edginess." We found that entrainment was different across different classes of the syllable-initial phoneme and that entrainment depended on the amount of "edge" in the sound envelope. In particular, the best edge marker and predictor of entrainment was the latency of the maximum derivative of each syllable.
对语音的神经同步似乎依赖于音节特征，尤其是那些与刺激的声学包络相关的特征。有人提出，语音的神经追踪取决于音素特征。在本次脑电图实验中，我们检查了25名参与者的数据，以研究对由不同音素开头的音节组成的近等时刺激的神经同步。我们测量了对这些刺激的神经反应的试验间相位相干性，并评估了这种相干性与旨在量化其“尖锐度”的刺激声学特性之间的关系。我们发现，不同类别的音节起始音素的同步情况不同，并且同步取决于声音包络中的“尖锐度”。特别是，同步的最佳尖锐度标记和预测指标是每个音节最大导数的潜伏期。
