Abstract: A method of coding a sampled speech signal in which the speech signal is divided into sequential frames. For each current frame, a first set of linear prediction coding (LPC) coefficients are generated, where the number of LPC coefficients depends upon the characteristics of the current frame. If the number of LPC coefficients in the first set of the current frame differs from the number in the first set of the preceding frame, then a second expanded or contracted set of LPC coefficients is generated from the first set of LPC coefficients for the preceding frame. This second set contains the same number of LPC coefficients as are present in said first set of the current frame. Respective sets of line spectral frequency (LSP) coefficients are generated for the first set of LPC coefficients of the current frame and the second set of LPC coefficients of the preceding frame. The sets of LSP coefficients are then combined to provide an encoded residual signal.

Abstract: A method of speech coding a sampled speech signal using long term prediction (LTP). A LTP pitch-lag parameter is determined for each frame of the speech signal by first determining the autocorrelation function for the frame within the signal, between predefined maximum and minimum delays. The autocorrelation function is then weighted to emphasize the function for delays in the neighborhood of the pitch-lag parameter determined for the most recent voiced frame. The maximum value for the weighted autocorrelation function is then found and identified as the pitch-lag parameter for the frame.