Murray, J. C., 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) |
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| 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 |
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| 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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