A recurrent neural network for sound-source motion tracking and prediction

Murray, J. C. and Erwin, H. and Wermter, S. (2005) A recurrent neural network for sound-source motion tracking and prediction. In: Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, July 31 2005-Aug. 4 2005, Montreal, Que..

Full content URL: http://dx.doi.org/10.1109/IJCNN.2005.1556248

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires extensive training to classify all possible speeds to enable dynamic tracking of the most prominent sound within the environment.

Keywords:Neural networks
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:12810
Deposited On:06 Jan 2014 16:00

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