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Perception of acoustically complex phonological features in vowels is reflected in the induced brain-magnetic activity

机译:元音中听觉复杂的语音特征的感知反映在诱发的脑磁活动中

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A central issue in speech recognition is which basic units of speech are extracted by the auditory system and used for lexical access. One suggestion is that complex acoustic-phonetic information is mapped onto phonological representations of speech and that a finite set of phonological features is used to guide speech perception. Previous studies analyzing the N1m component of the auditory evoked field have shown that this holds for the acoustically simple feature place of articulation. Brain magnetic correlates indexing the extraction of acoustically more complex features, such as lip rounding (ROUND) in vowels, have not been unraveled yet. The present study uses magnetoencephalography (MEG) to describe the spatial-temporal neural dynamics underlying the extraction of phonological features. We examined the induced electromagnetic brain response to German vowels and found the event-related desynchronization in the upper beta-band to be prolonged for those vowels that exhibit the lip rounding feature (ROUND). It was the presence of that feature rather than circumscribed single acoustic parameters, such as their formant frequencies, which explained the differences between the experimental conditions. We conclude that the prolonged event-related desynchronization in the upper beta-band correlates with the computational effort for the extraction of acoustically complex phonological features from the speech signal. The results provide an additional biomagnetic parameter to study mechanisms of speech perception.
机译:语音识别中的一个中心问题是语音的哪些基本单元由听觉系统提取并用于词汇访问。一个建议是,将复杂的语音信息映射到语音的语音表示中,并使用一组有限的语音特征来指导语音感知。先前的分析听觉诱发区域的N1m分量的研究表明,这适用于发音简单的声学特征部位。脑磁关联索引了声学上更复杂的特征的提取,例如元音中的唇圆度(ROUND)尚未阐明。本研究使用脑磁图(MEG)来描述提取语音特征背后的时空神经动力学。我们检查了对德国元音的电磁脑感应反应,发现对于那些具有唇圆角特征(ROUND)的元音,上半带的与事件相关的失步现象得以延长。正是该功能的存在而不是限制了单个声学参数(例如共振峰频率),这解释了实验条件之间的差异。我们得出的结论是,较高的beta波段中与事件相关的长时间不同步与从语音信号中提取声音复杂的语音特征的计算量相关。结果提供了一个额外的生物磁参数来研究语音感知的机制。

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