Access of semantic knowledge during speech perception

语音感知过程中语义知识的获取

• 批准号: 7463941
• 负责人: Daniel Mirman
• 金额: $ 5.3万
• 依托单位: UNIVERSITY OF CONNECTICUT STORRS
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7463941
• 关键词: Accounting; Acoustics; Affect; Behavioral; Cereals; Cognition; Cognitive; Complex; Comprehension; Computer Simulation; Data; Development; Disease; Eye; Fellowship; Future; Goals; Individual; Intuition; Investigation; Knowledge; Language; Language Development; Learning; Linguistics; Link; Maps; Measures; Mediating; Methods; Metric; Modeling; Names; Neighborhoods; Numbers; Orthography; Output; Pattern; Phonetics; Process; Production; Reaction Time; Reading; Research; Role; Semantics; Side; Signal Transduction; Specific qualifier value; Speech; Speech Perception; Stroke; Testing; Weight; Work; base; cognitive function; density; language processing; lexical; novel; phonology; research study; simulation; speech processing; success; theories

DESCRIPTION (provided by applicant): Most efforts to understand the mechanisms and processes underlying speech perception have not examined how semantic knowledge is accessed during speech perception. The proposed research aims to investigate how meaning is accessed during spoken word comprehension using behavioral and eye-tracking methods and to develop a mechanistic theory of speech perception that incorporates activation of semantic representations. Proposed behavioral experiments test the effect of semantic neighborhood density on word recognition and compare the importance of rare and frequent semantic features in determining semantic similarity. Proposed eye tracking experiments provide fine-grained convergent data that will further elucidate how semantic knowledge is accessed from spoken input. A proposed computational model will integrate semantic knowledge in speech processing to account for the behavioral and eye tracking results and to make novel predictions.

描述（由申请人提供）：了解语音感知基础的机制和过程的大多数努力尚未研究语音感知期间的语义知识。拟议的研究旨在调查使用行为和眼神追踪方法在口语理解过程中如何访问含义，并开发一种结合语义表示激活的语音感知理论。提出的行为实验测试语义邻域密度对单词识别的影响，并比较罕见和频繁的语义特征在确定语义相似性中的重要性。提出的眼科跟踪实验提供了细粒的收敛数据，这将进一步阐明从口语输入中访问语义知识的方式。提出的计算模型将在语音处理中整合语义知识，以说明行为和眼睛跟踪结果并做出新颖的预测。

项目成果

Interactions dominate the dynamics of visual cognition.

交互主导着视觉认知的动态。

• DOI: 10.1016/j.cognition.2009.12.010
• 发表时间: 2010
• 期刊: Cognition
• 影响因子: 3.4
• 作者: Stephen,DamianG;Mirman,Daniel
• 通讯作者: Mirman,Daniel

Levy-like diffusion in eye movements during spoken-language comprehension.

口语理解过程中眼球运动的类征扩散。

• DOI: 10.1103/physreve.79.056114
• 发表时间: 2009
• 期刊: Physical review. E, Statistical, nonlinear, and soft matter physics
• 作者: Stephen,DamianG;Mirman,Daniel;Magnuson,JamesS;Dixon,JamesA
• 通讯作者: Dixon,JamesA