Time course of variability in spoken word recognition

口语单词识别的时间变化过程

• 批准号: 7319569
• 负责人: CONOR T MCLENNAN
• 金额: $ 7.24万
• 依托单位: CLEVELAND STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-21 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7319569
• 关键词: auditory stimulus; behavioral /social science research tag; clinical research; eye movements; human subject; neural information processing; speech recognition; visual stimulus; visual tracking; young adult human (21-34)

DESCRIPTION (provided by applicant): The long-term objective of the proposed research is to gain a better understanding of the processes and representations underlying spoken word recognition. Substantial empirical evidence now exists in support of the hypothesis that surface variability in speech has both processing and representational implications. The processing work demonstrates that variability in speech, such as a change in the identity of a talker, hinders perception, resulting in slower and/or less accurate spoken word recognition. The representational work demonstrates that variability also has long-term consequences for the perception of spoken words, suggesting that the representations underlying spoken word recognition can include highly specific surface details. Furthermore, recent work also suggests that variability effects follow a time course, manifesting themselves at predictable points during perceptual processing. More specifically, some types of surface variability do not seem to affect early stages of spoken word recognition. Rather, abstract linguistic representations appear to drive the initial on-line perception of spoken words and more specific representations, containing surface details associated with variability, only affect latter stages of processing. The aim of the proposed work is to provide a more immediate and fine-grained analysis of the time course of variability effects. In particular, behavioral measures of the time course effects of two sources of variability, talker-identity and speaking rate, will be collected using the eye-tracking paradigm. The proposed research should ultimately lead to better theories and models of both normal and disordered spoken language perception.

描述（由申请人提供）：拟议研究的长期目标是更好地理解口语单词识别的过程和表示。现在存在大量的经验证据支持这样的假设：语音的表面变异性具有处理和表征的含义。处理工作表明，语音的变化（例如说话者身份的变化）会阻碍感知，导致口语识别速度变慢和/或不太准确。表征工作表明，变异性也会对口语单词的感知产生长期影响，这表明口语单词识别的表征可以包括高度具体的表面细节。此外，最近的研究还表明，变异性效应遵循时间进程，在感知处理过程中的可预测点表现出来。更具体地说，某些类型的表面变化似乎不会影响口语单词识别的早期阶段。相反，抽象的语言表征似乎驱动了口语的初始在线感知，而更具体的表征（包含与可变性相关的表面细节）仅影响处理的后期阶段。拟议工作的目的是对变异性影响的时间过程提供更直接和更细粒度的分析。特别是，将使用眼动追踪范例来收集两个可变性来源（说话者身份和语速）的时间过程影响的行为测量。拟议的研究最终应该会产生更好的正常和无序口语感知的理论和模型。