Speaker–listener neural coupling reveals a right-lateralized mechanism for non-native speech-in-noise comprehension

理解力 心理学 言语感知 第一语言 噪音(视频) 语音处理 语音识别 中央后回 颞中回 额下回 叙述的 认知心理学 计算机科学 语言学 沟通 功能磁共振成像 感知 人工智能 神经科学 哲学 图像(数学)
作者
Zhuoran Li,Bo Hong,Daifa Wang,Guido Nolte,Andreas K. Engel,Dan Zhang
出处
期刊:Cerebral Cortex [Oxford University Press]
卷期号:33 (7): 3701-3714 被引量:7
标识
DOI:10.1093/cercor/bhac302
摘要

Abstract While the increasingly globalized world has brought more and more demands for non-native language communication, the prevalence of background noise in everyday life poses a great challenge to non-native speech comprehension. The present study employed an interbrain approach based on functional near-infrared spectroscopy (fNIRS) to explore how people adapt to comprehend non-native speech information in noise. A group of Korean participants who acquired Chinese as their non-native language was invited to listen to Chinese narratives at 4 noise levels (no noise, 2 dB, −6 dB, and − 9 dB). These narratives were real-life stories spoken by native Chinese speakers. Processing of the non-native speech was associated with significant fNIRS-based listener–speaker neural couplings mainly over the right hemisphere at both the listener’s and the speaker’s sides. More importantly, the neural couplings from the listener’s right superior temporal gyrus, the right middle temporal gyrus, as well as the right postcentral gyrus were found to be positively correlated with their individual comprehension performance at the strongest noise level (−9 dB). These results provide interbrain evidence in support of the right-lateralized mechanism for non-native speech processing and suggest that both an auditory-based and a sensorimotor-based mechanism contributed to the non-native speech-in-noise comprehension.

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