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首页> 外文期刊>Neuroscience Letters: An International Multidisciplinary Journal Devoted to the Rapid Publication of Basic Research in the Brain Sciences >Suprasegmental speech cues are automatically processed by the human brain: a mismatch negativity study.
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Suprasegmental speech cues are automatically processed by the human brain: a mismatch negativity study.

机译:人脑自动处理超段语音提示:失配负性研究。

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摘要

This study investigates the electrical brain activity correlates of the automatic detection of suprasegmental and local speech cues by using a passive oddball paradigm, in which the standard Hungarian word 'banan' ('banana' in English) was contrasted with two deviants: a voiceless phoneme deviant ('panan'), and a stress deviant, where the stress was on the second syllable, instead of the obligatory first one. As a result, we obtained the mismatch negativity component (MMN) of event-related brain potentials in each condition. The stress deviant elicited two MMNs: one as a response to the lack of stress as compared to the standard stimulus, and another to the additional stress. Our results support that the MMN is as valuable in investigating processing characteristics of suprasegmental features as in that of phonemic features. MMN data may provide further insight into pre-attentive processes contributing to spoken word recognition.
机译:这项研究调查了通过使用被动奇数球范式自动检测超节段和局部语音提示的脑电活动相关性,其中匈牙利标准单词“ banan”(英语中的“ banana”)与两个变体形成对比:无声音素偏音(“ panan”)和重音异常,其中重音在第二个音节上,而不是在第一个音节上。结果,我们获得了每种情况下事件相关的脑电势的失配负分量(MMN)。压力异常引发了两种MMN:一种是与标准刺激相比对缺乏压力的反应,另一种是对额外压力的反应。我们的结果支持MMN与音素特征一样,在研究超分割特征的处理特征方面同样有价值。 MMN数据可以提供对有助于语音识别的注意力集中过程的进一步了解。

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