Voice compression system and method

Abstract

A system for performing voice compression which includes, a conversion means for converting analog voice signals into discrete samples of digital voice data and collecting the discrete samples into segments, with a means for dividing the segments into subsegments and for producing therefrom a current voice subsegment. A pitch prediction means is used for determining the long term predicted gain of the current voice subsegment by comparing the current voice subsegment to reconstructed voice samples to produce a pitch predictor gain and a lag component and a pitch filter means is used for pitch filtering the current voice subsegment based on the pitch predictor gain and the lag component which then produces long term residual samples. The system includes a means for scaling the long term residual samples based on the peak amplitude of the long term residual samples to produce normalized long term residual samples and a means including a code book stored in a memory for locating a single memory address of a closest match between the normalized long term residual samples and the stored distinct normalized long term residual samples. The system includes an output means for providing the distinct memory address, the pitch predictor gain, the lag component and the peak amplitude for each voice subsegment and a means to reconstruct these samples based on these parameters.