All-pole speech modeling with a maximally pulse-like residual

Multiple pulse excited linear predictive coding (MPLPC) has recently received a great deal of attention in the literature as an attractive means of speech coding at data rates below 10 Kbits/second. The existing approaches to MPLPC analysis arrive at the parameters for an all-pole model by minimizing the mean squared modeling error before attempting to find a set of pulses to excite the model. The strategy proposed here selects the all-pole parameters to concentrate the model excitation in a finite number of locations. The goal is then to produce a maximally pulse-like residual as a result of the all-pole parameter estimation.