The society of mind
Auditory stream segregation in auditory scene analysis with a multi-agent system
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Multiagent based binaural sound stream segregation
Computational auditory scene analysis
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
The role of data reprocessing in complex acoustic environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Sound ontology for computational auditory scence analysis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Sound and Visual Tracking for Humanoid Robot
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Organised Sound
Sound and Visual Tracking for Humanoid Robot
Applied Intelligence
A music stream segregation system based on adaptive multi-agents
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Understanding three simultaneous speeches
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Humanoid active audition system improved by the cover acoustics
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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The Residue-Driven Architecture presented here is a model of auditory stream segregation from input sounds. A subsystem to extract auditory streams by using some sound attributes is called an agency and the design of each agency is based on the residue-driven architecture. This architecture consists of three kinds of agents: an event-detector, a tracer-generator, and tracers. The event-detector calculates a residue by subtracting the predicted input from the actual input. When a residue exceeds a threshold value, tracer-generator generates a tracerthat extracts an auditory stream from the residue and returns a predicted input of the next time frame to the event-detector. This aproach improves the performance of segregation and the resulting system can segregate a woman's voiced stream, a man's voiced stream, and a noise stream from a mixture of these sounds. Binaural segregation is also designed by the architecture.