Robust command recognition using kernel learning algorithms

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.