A Cognitive Architectural Account of Two-Channel Speech Processing

摘要

An important application of cognitive architectures is to provide human performance models that capture psychological mechanismsin a form that can be “programmed” to predict task performance of human-machine system designs. While many aspects of humanperformance have been successfully modeled in this approach, accounting for multi-talker speech task performance is a novelproblem. This paper presents a model for performance in a two-talker task that incorporates concepts from the psychoacoustic study ofspeech perception, in particular, masking effects and stream formation.