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)
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Exploiting auditory fovea in humanoid-human interaction
Eighteenth national conference on Artificial intelligence
A Bootstrapping Method for Autonomous and in Site Learning of Generic Navigation Behavior
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
A new sound source location algorithm based on formant frequency for sound image localization
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Real-time auditory and visual multiple-object tracking for humanoids
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
The parameterless self-organizing map algorithm
IEEE Transactions on Neural Networks
Applied Intelligence
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This paper presents a novel method for enabling a robot to determine the position of a sound source in three dimensions using just two microphones and interaction with its environment. The method uses the Parameter-Less Self-Organising Map (PLSOM) algorithm and Reinforcement Learning (RL) to achieve rapid, accurate response. We also introduce a method for directional filtering using the PLSOM. The presented system is compared to a similar system to evaluate its performance.