Recursive windowing for generating autocorrelation coefficients for LPC analysis

A method for recursively computing the autocorrelation estimates needed for LPC analysis in a vocoder environment has been developed theoretically and studied experimentally. The method has three specific advantages: 1) it requires very little memory for its implementation; 2) it is realized by a structure consisting of several identical modules; and 3) the effective window length may be changed without varying the structure. Experimental results showed the speech quality to be comparable to and slightly better than that produced by an auto-correlation LPC vocoder using a Hamming window.