Premium
Modeling Two‐Channel Speech Processing With the EPIC Cognitive Architecture
Author(s) -
Kieras David E.,
Wakefield Gregory H.,
Thompson Eric R.,
Iyer Nandini,
Simpson Brian D.
Publication year - 2016
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12180
Subject(s) - computer science , task (project management) , cognitive architecture , psychoacoustics , cognition , masking (illustration) , channel (broadcasting) , speech recognition , epic , artificial intelligence , natural language processing , psychology , perception , engineering , telecommunications , art , literature , systems engineering , neuroscience , visual arts
An important application of cognitive architectures is to provide human performance models that capture psychological mechanisms in a form that can be “programmed” to predict task performance of human–machine system designs. Although many aspects of human performance have been successfully modeled in this approach, accounting for multitalker speech task performance is a novel problem. This article presents a model for performance in a two‐talker task that incorporates concepts from psychoacoustics, in particular, masking effects and stream formation.