Cortical Tracking of Speech: Toward Collaboration between the Fields of Signal and Sentence Processing.
Cortical Tracking of Speech: Toward Collaboration between the Fields of Signal and Sentence Processing.
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DOI：
10.1162/jocn_a_01676
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发表时间：
2021-04
影响因子：
3.2
通讯作者：
Miller LM
中科院分区：
文献类型：
--
作者：
Beier EJ;Chantavarin S;Rehrig G;Ferreira F;Miller LM
近年来，越来越多的研究使用皮层追踪方法来研究听觉语言加工。虽然大多数采用皮层跟踪的研究源于听觉信号处理领域，但这种方法也应该引起心理语言学的兴趣，特别是句子处理的子领域，因为它有可能提供对动态语言理解过程的洞察。然而，这些领域之间的合作有限，我们认为这部分是因为理论背景和方法限制的差异，有些是相互排斥的。在本文中，我们首先回顾了在历史上优先考虑的理论和方法的限制，在每个领域，并提供具体的例子，这些限制可能会被调和。然后，我们详细说明这两个领域之间的进一步合作如何能够互惠互利。具体来说，我们认为使用皮层跟踪方法可能有助于解决句子处理领域长期存在的争论，这些争论通常使用行为和神经测量（例如，ERP）未能作出裁决。同样，使用皮层追踪的信号处理研究人员可能能够减少神经数据中的噪音，并通过控制刺激的语言特征和使用简单的理解任务来扩大其结果的影响。总的来说，我们认为，这两个领域的方法限制之间的平衡将导致语言处理的全面改善的理解，以及更清晰的机制皮质跟踪语音反映。加强合作将有助于解决这两个领域的争论，并将为研究带来新的令人兴奋的途径。
In recent years, a growing number of studies have used cortical tracking methods to investigate auditory language processing. Although most studies that employ cortical tracking stem from the field of auditory signal processing, this approach should also be of interest to psycholinguistics—particularly the subfield of sentence processing—given its potential to provide insight into dynamic language comprehension processes. However, there has been limited collaboration between these fields, which we suggest is partly because of differences in theoretical background and methodological constraints, some mutually exclusive. In this paper, we first review the theories and methodological constraints that have historically been prioritized in each field and provide concrete examples of how some of these constraints may be reconciled. We then elaborate on how further collaboration between the two fields could be mutually beneficial. Specifically, we argue that the use of cortical tracking methods may help resolve long-standing debates in the field of sentence processing that commonly used behavioral and neural measures (e.g., ERPs) have failed to adjudicate. Similarly, signal processing researchers who use cortical tracking may be able to reduce noise in the neural data and broaden the impact of their results by controlling for linguistic features of their stimuli and by using simple comprehension tasks. Overall, we argue that a balance between the methodological constraints of the two fields will lead to an overall improved understanding of language processing as well as greater clarity on what mechanisms cortical tracking of speech reflects. Increased collaboration will help resolve debates in both fields and will lead to new and exciting avenues for research.
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影响因子：
3.8
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