Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
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)
Computational auditory scene analysis
Computational auditory scene analysis
Using vision to improve sound source separation
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Designing a humanoid head for RoboCup challenge
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Residue-driven architecture for computational auditory scene analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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
Sound and Visual Tracking for Humanoid Robot
Applied Intelligence
Ego noise suppression of a robot using template subtraction
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Ego noise cancellation of a robot using missing feature masks
Applied Intelligence
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Perception system for humeinoid should be active, e.g., by moving its body or controlling pcurameters of sensors such as cameras or microphones, to perceive environments better. This paper focuses on active audition, whose meiin problem is to suppress internal sounds made by humeinoid movements. Otherwise, such sounds would deteriorate the performance of auditory processing. Our 4-degree-of-freedom (DOF) humzinoid, called SIG , has a cover to enclose internal sounds from the outside. SIG has a pair of left cOid right microphones to collect internal sounds and another pciir to collect external sounds originating from the outside of SIG . A simple strategy of choosing a subblind of external sounds if sounds from internal microphones in the same subband is weeiker ihan those from external microphones sometimes fciils in internal sound cancellation due to resoncince within the cover. In this paper, we report the design of internal sound ccincellation system to enhcince external sounds. First, the acoustic cheiracteristic of the humeinoid cover is measured to make a model of each motor movement. Then, an adaptive filter is designed based on the model by taking movement commcinds into accounts. Experiments show that this Ccincellation system enhances external sounds cind SIG can track and localize sound sources during its movement.