A computational model of sound stream segregation with multi-agent paradigm

This paper presents a new computation model for sound stream segregation based on a multi-agent paradigm. Sound streams are thought to play a key role in auditory scene analysis, which provides a general framework for auditory research including voiced speech and music. Each agent is dynamically allocated to a sound stream, and it segregates the stream by focusing on consistent attributes. Agents interact with each other to resolve stream interference. We design agents to segregate harmonic streams and a noise stream. The presented system can segregate all the streams from a mixture of a male and a female voiced speech and a background non-harmonic noise