在口语单词识别过程中,视素和字素是如何与语音相结合的?与听觉语音处理相比,视听过程中超加性反应的ERP证据

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Chotiga Pattamadilok, Marc Sato
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引用次数: 2

摘要

视觉发音手势和正字法都提供了语音内容的信息。这项脑电图研究探讨了语音和这两种视觉输入之间的整合。一项对熟练读者的大脑反应的比较研究表明,虽然视觉输入都没有引起N1声学分量的视听整合,但都导致了P2声学分量的超加性整合,言语和字素在左前电极上的整合更强。这种模式在P350时间窗中持续存在,并推广到所有电极。这一发现表明,拼写知识对语音加工和词汇获取有很强的影响。它还间接表明,动态和预测价值存在于自然嘴唇运动中,而不是静态嘴唇运动中,这对于视觉发音手势对语音处理的贡献尤为重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How are visemes and graphemes integrated with speech sounds during spoken word recognition? ERP evidence for supra-additive responses during audiovisual compared to auditory speech processing

Both visual articulatory gestures and orthography provide information on the phonological content of speech. This EEG study investigated the integration between speech and these two visual inputs. A comparison of skilled readers’ brain responses elicited by a spoken word presented alone versus synchronously with a static image of a viseme or a grapheme of the spoken word’s onset showed that while neither visual input induced audiovisual integration on N1 acoustic component, both led to a supra-additive integration on P2, with a stronger integration between speech and graphemes on left-anterior electrodes. This pattern persisted in P350 time-window and generalized to all electrodes. The finding suggests a strong impact of spelling knowledge on phonetic processing and lexical access. It also indirectly indicates that the dynamic and predictive value present in natural lip movements but not in static visemes is particularly critical to the contribution of visual articulatory gestures to speech processing.

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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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