Title
Modeling Two-Channel Speech Processing With the EPIC Cognitive Architecture.
Abstract
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.
Year
DOI
Venue
2016
10.1111/tops.12180
TOPICS IN COGNITIVE SCIENCE
Keywords
Field
DocType
Cognitive architecture,Two-channel speech,Auditory perception,Auditory streams
Speech processing,Psychoacoustics,Masking (art),Computer science,Communication channel,Speech recognition,Speech perception,Cognitive architecture,Cognition,Perceptual Masking
Journal
Volume
Issue
ISSN
8.0
1.0
1756-8757
Citations 
PageRank 
References 
2
0.36
1
Authors
5
Name
Order
Citations
PageRank
David E. Kieras11029193.43
Gregory H. Wakefield214428.97
Eric R Thompson320.36
Nandini Iyer431.75
Brian D. Simpson5398.77