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In this paper a new spectral envelope estimation method based on radial basis function (RBF) neural network is proposed for implementing a blind bandwidth extension method of audio signals. To make the sub-band envelope of high-frequency (HF) components accurately recovered, the RBF neural network is utilized to fit the relationship between low-frequency(More)
In this paper a new method of blind bandwidth extension from wideband (WB) to super-wideband (SWB) audio is proposed. The Radial Basic Function (RBF) neural network is utilized to predict the coefficients of high-frequency (HF) based on the nonlinear characteristics of audio spectrum series. In addition, the linear extrapolation is used for reconstructing(More)
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