A Recurrent Neural Network for Sound-Source Motion Tracking and Prediction

John C. Murray , Harry Erwin , Stefan Wermter
International Joint Conference in Neural Networks, pages 2232--2236, doi: 10.1109/IJCNN.2005.1556248 - Jan 2005
Associated documents :  
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.

 

@InProceedings{MEW05b,
 	 author =  {Murray, John C. and Erwin, Harry and Wermter, Stefan},
 	 title = {A Recurrent Neural Network for Sound-Source Motion Tracking and Prediction},
 	 booktitle = {International Joint Conference in Neural Networks},
 	 journal = {None},
 	 editors = {}
 	 number = {}
 	 volume = {}
 	 pages = {2232--2236},
 	 year = {2005},
 	 month = {Jan},
 	 publisher = {IEEE},
 	 doi = {10.1109/IJCNN.2005.1556248},
 }