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.
authors.affiliation: Electrical Engineering & Computer Science Department, University of Michigan.
authors.forename: David E
authors.initials: DE
authors.lastname: Kieras
authors.affiliation: Electrical Engineering & Computer Science Department, University of Michigan.
authors.forename: Gregory H
authors.initials: GH
authors.lastname: Wakefield
authors.affiliation: Battlespace Acoustics Branch, Air Force Research Laboratory, Wright-Patterson AFB.
authors.forename: Eric R
authors.initials: ER
authors.lastname: Thompson
authors.affiliation: Battlespace Acoustics Branch, Air Force Research Laboratory, Wright-Patterson AFB.
authors.forename: Nandini
authors.initials: N
authors.lastname: Iyer
authors.affiliation: Battlespace Acoustics Branch, Air Force Research Laboratory, Wright-Patterson AFB.
authors.forename: Brian D
authors.initials: BD
authors.lastname: Simpson
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods; D001288:Attention / Q000502:physiology; D001307:Auditory Perception / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D010470:Perceptual Masking; D011571:Psychoacoustics; D013060:Speech / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology*
keywords: Auditory perception; Auditory streams; Cognitive architecture; Two-channel speech