Suppr超能文献

言语感知是一种主动的认知过程。

Speech perception as an active cognitive process.

机构信息

Department of Psychology, The University of Chicago Chicago, IL, USA.

出版信息

Front Syst Neurosci. 2014 Mar 17;8:35. doi: 10.3389/fnsys.2014.00035. eCollection 2014.

Abstract

One view of speech perception is that acoustic signals are transformed into representations for pattern matching to determine linguistic structure. This process can be taken as a statistical pattern-matching problem, assuming realtively stable linguistic categories are characterized by neural representations related to auditory properties of speech that can be compared to speech input. This kind of pattern matching can be termed a passive process which implies rigidity of processing with few demands on cognitive processing. An alternative view is that speech recognition, even in early stages, is an active process in which speech analysis is attentionally guided. Note that this does not mean consciously guided but that information-contingent changes in early auditory encoding can occur as a function of context and experience. Active processing assumes that attention, plasticity, and listening goals are important in considering how listeners cope with adverse circumstances that impair hearing by masking noise in the environment or hearing loss. Although theories of speech perception have begun to incorporate some active processing, they seldom treat early speech encoding as plastic and attentionally guided. Recent research has suggested that speech perception is the product of both feedforward and feedback interactions between a number of brain regions that include descending projections perhaps as far downstream as the cochlea. It is important to understand how the ambiguity of the speech signal and constraints of context dynamically determine cognitive resources recruited during perception including focused attention, learning, and working memory. Theories of speech perception need to go beyond the current corticocentric approach in order to account for the intrinsic dynamics of the auditory encoding of speech. In doing so, this may provide new insights into ways in which hearing disorders and loss may be treated either through augementation or therapy.

摘要

有一种观点认为,语音感知是将声学信号转换为模式匹配的表示形式,以确定语言结构。这个过程可以被视为一个统计模式匹配问题,假设相对稳定的语言类别是由与语音听觉属性相关的神经表示来表征的,这些表示可以与语音输入进行比较。这种模式匹配可以被称为被动过程,这意味着处理过程具有刚性,对认知处理的要求很少。另一种观点认为,即使在早期阶段,语音识别也是一个主动的过程,在这个过程中,语音分析是受到注意力引导的。请注意,这并不是指有意识的引导,而是指在语境和经验的作用下,早期听觉编码中信息相关的变化是可以发生的。主动处理假设注意力、可塑性和聆听目标在考虑听众如何应对环境噪声掩蔽或听力损失等听力受损的不利情况时是很重要的。尽管语音感知理论已经开始纳入一些主动处理,但它们很少将早期语音编码视为具有可塑性和受注意力引导的。最近的研究表明,语音感知是许多大脑区域之间前馈和反馈相互作用的产物,这些大脑区域包括可能远至耳蜗的下行投射。了解语音信号的模糊性和语境的约束如何动态地决定感知过程中所涉及的认知资源,包括集中注意力、学习和工作记忆,这一点很重要。为了解释语音编码的内在动力学,语音感知理论需要超越当前的皮质中心方法。这样做可能会为听力障碍和损失的治疗方法提供新的思路,无论是通过增强还是治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f512/3956139/b15ddfb1a70c/fnsys-08-00035-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验