用于声源运动跟踪和预测的递归神经网络

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Pub Date : 2005-12-27 DOI:10.1109/IJCNN.2005.1556248

J. Murray, H. Erwin, S. Wermter

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引用次数: 5

摘要

递归神经网络(RNN)在模式检测和模式预测方面有着广泛的应用。本文展示了RNN作为机器人声源跟踪系统的速度分类器和预测器的使用。该系统需要大量的训练来分类所有可能的速度，以便动态跟踪环境中最突出的声音。

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

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.

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Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

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