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Beneficial effects of word final stress in segmenting a new language: evidence from ERPs

机译:最终词在分割新语言时的有益效果:ERP的证据

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摘要

Background How do listeners manage to recognize words in an unfamiliar language? The physical continuity of the signal, in which real silent pauses between words are lacking, makes it a difficult task. However, there are multiple cues that can be exploited to localize word boundaries and to segment the acoustic signal. In the present study, word-stress was manipulated with statistical information and placed in different syllables within trisyllabic nonsense words to explore the result of the combination of the cues in an online word segmentation task. Results The behavioral results showed that words were segmented better when stress was placed on the final syllables than when it was placed on the middle or first syllable. The electrophysiological results showed an increase in the amplitude of the P2 component, which seemed to be sensitive to word-stress and its location within words. Conclusion The results demonstrated that listeners can integrate specific prosodic and distributional cues when segmenting speech. An ERP component related to word-stress cues was identified: stressed syllables elicited larger amplitudes in the P2 component than unstressed ones.
机译:背景倾听者如何设法识别陌生语言中的单词?信号的物理连续性缺乏单词之间真正的静默停顿,这使其成为一项艰巨的任务。但是,可以利用多种提示来定位单词边界并分割声音信号。在本研究中,单词重音被统计信息所操纵,并被置于三音节废话中的不同音节中,以探索在线分词任务中线索组合的结果。结果行为结果表明,在重读最后一个音节时,单词比在中音节或第一个音节上的单词分割更好。电生理结果显示,P2分量的振幅增加,这似乎对单词重音及其在单词中的位置很敏感。结论结果表明,听众在分割语音时可以整合特定的韵律和分布提示。确定了与单词重音提示有关的ERP组件:重读音节在P2组件中引起的振幅比未重读音节更大。

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