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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2016
- Source ID
- 10.1111/tops.12180
Entities
People
- Brian D. Simpson
- David Kieras
- Eric R. Thompson
- Gregory H. Wakefield
- Nandini Iyer
Organizations
- Air Force Office of Scientific Research
- Air Force Research Laboratory
- Office of Naval Research
- University of Michigan