Speech enhancement based on a combined higher frequency regeneration technique and RBF networks

In this paper, we propose a new method for noise reduction in speech signals. In the method, the nonlinear spectral subtraction (NSS) method is applied to the down-sampled noisy speech signal. Then, the proposed method restores the missing higher frequency components from the narrow-bandwidth enhanced speech signal in order to improve the subjective speech quality. For recovering the broad-bandwidth speech signal, the proposed method exploits the radial basis function (RBF) network, which is one of the wellknown models of artificial neural networks.