Matrix form of linear spectral parameters of the highest splitting method
This paper considers the speech signal spectral envelope shape coding theory using a method of linear spectral parameters of the highest splitting (LSP-HS). Advantages of LSP-HS parameter application comparing to classic LSP parameters are specified. It is demonstrated that the direct and inverse transforms of LSP-HS method can be regarded as a certain matrices transform from the LPC coefficients. A formula of synthesized speech signal spectral envelope estimations in space of LSP-HS is derived.