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Robust command recognition using kernel learning algorithms

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2 Author(s)
Narnarvar, H.H. ; Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Berger, T.W.

We introduce a new idea of robust command recognition system using frequency domain analysis and radial basis function support vector machines (SVM). We have tested the proposed system under stationary background noise hypothesis and have compared the performance of SVM classifier to multi-layer perceptron and radial basis function neural network classifiers. Simulations were carried out on the TI-46 corpus and higher performance of the SVM classifier was obtained on a small set of commands.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:4 )

Date of Conference:

20-24 July 2003