Dimension reducing of LSF parameters based on radial basis function neural network

In this paper, we investigate a novel method for transforming line spectral frequency (LSF) parameters to lower dimensional coefficients. Radial basis function neutral network (RBF NN) based transforming model is used to fit LSF vectors. In the training process, two criterions, including mean squared error and weighted mean squared error, are involved to… (More)