Processing Neighbors in Speech Perception and Production

语音感知和生成中的邻居处理

• 批准号: 7235365
• 负责人: MICHAEL S VITEVITCH
• 金额: $ 19.68万
• 依托单位: UNIVERSITY OF KANSAS LAWRENCE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7235365
• 关键词: Characteristics; Cognitive; Frequencies; Goals; Information Retrieval; Language; Lead; Modeling; Numbers; Outcome; Probability; Process; Production; Research; Research Personnel; Retrieval; Semantics; Speech; Speech Perception; Speed; Stimulus; System; Time; Work; cognitive system; design; insight; language processing; lexical; phonology; programs; research study; semantic processing; speech recognition

DESCRIPTION: (provided by applicant): The research in this revised proposal builds upon work that was completed under R03 DC 04259 "Phonotactic Information in Speech Production," which examined how the frequency of occurrence of phonological segments in a word (i.e., phonotactic probability) influenced the speed and accuracy of producing spoken words. The long-term goals of the current project are to better understand the processes and representations used to produce and recognize spoken words. Current models of speech production and word recognition propose multiple levels of representation, such as semantic, lexical, and sub-lexical representations. The research in the current proposal will examine how the frequency of occurrence of a stimulus, and the number of representations that resemble that stimulus (i.e., neighbors) influence the speed and accuracy of processing at each level of representation. The experiments in this proposal are unique in that they will examine the influence of frequency of occurrence and of neighboring representations at several levels of representation, including the semantic, the lexical, and the sub-lexical levels. Furthermore, the research in this proposal will examine these influences in both parts of the spoken language system (i.e, during the recognition and production of spoken words). The results of the proposed research will provide insight into the processes and representations used during the recognition and production of spoken words. Investigating the influence of frequency of occurrence and number of neighbors at each level of representation in both the recognition and the production of spoken language will lead to a better understanding of how different outcomes (e.g., competition versus facilitation) may arise given the demands of the different processing systems. Finally, this research will enable us to build better models of the two systems, as well as better describe the interface between the two systems. That is, the work in this proposal is a first step in the needed direction of integrating models of sub-lexical, lexical, and semantic processing and of models of recognition and production.

产品说明：（申请人提供）：这项修订提案中的研究建立在R03 DC 04259“语音产生中的语音定位信息”下完成的工作基础上，该工作研究了一个词中语音片段的出现频率（即，语音定位概率）影响产生口语单词的速度和准确性。当前项目的长期目标是更好地理解用于产生和识别口语单词的过程和表示。目前的语音产生和单词识别模型提出了多层次的表示，如语义，词汇和子词汇表示。当前提案中的研究将研究刺激发生的频率，以及类似于该刺激的表征的数量（即，邻居）影响每一级表示的处理速度和精度。在这个建议中的实验是独特的，因为他们将检查出现的频率和相邻的表示在几个层次的代表性，包括语义，词汇和子词汇水平的影响。此外，本提案中的研究将检查口语系统两个部分（即口语单词的识别和产生过程中）的这些影响。拟议的研究结果将提供深入了解过程和表示过程中使用的识别和生产的口语单词。调查在口语的识别和产生中的每个表示级别的出现频率和邻居数量的影响将导致更好地理解不同的结果（例如，竞争与便利化）可能会因不同处理系统的需求而出现。最后，这项研究将使我们能够建立更好的两个系统的模型，以及更好地描述两个系统之间的接口。也就是说，在这个建议的工作是第一步，在所需的方向整合模型的子词汇，词汇和语义处理和模型的识别和生产。