EPIC Modeling of a Two-Talker CRM Listening Task

Abstract

An extension of the auditory module in EPIC is introduced to model the two-talker coordinate response measure (CRM) listening task. The construct of an auditory stream is employed as an object in the working memory of EPIC’s cognitive processor. Production rules are developed that execute the two-talker CRM task. Analysis of these rules reveal two sources of possible error in the output of the auditory processor to working memory. Each is explored in turn and the production rules modified to provide a corpus-driven model that accounts for human performance in the listening task.