Processing Neighbors in Speech Perception and Production

描述：(申请人提供)：本修订方案中的研究建立在R03 DC 04259“语音产生中的语音定向信息”下完成的工作基础上，该工作检验了单词中语音片段的出现频率(即语音定向概率)如何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征。当前的语音产生和单词识别模型提出了多个层次的表示，例如语义、词汇和子词汇表示。当前方案中的研究将考察刺激的出现频率和与该刺激相似的表征(即，邻居)的数量如何影响每个表征水平上的加工速度和准确性。这个方案中的实验是独一无二的，因为他们将在几个表征水平上考察出现频率和相邻表征的影响，包括语义、词汇和子词汇水平。此外，本研究还将考察这些影响在口语系统的两个部分(即，在口语的识别和产生过程中)。这项拟议的研究结果将提供对口语识别和产生过程中使用的过程和表征的洞察。研究在口语的识别和产生过程中每个表征水平上的出现频率和邻居数量的影响将有助于更好地理解在不同加工系统的要求下如何产生不同的结果(例如，竞争和促进)。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，本提案中的工作是朝着整合子词汇、词汇和语义加工模型以及识别和产生模型所需方向迈出的第一步。

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.