Regular excitation reduction for effective and efficient LP-coding of speech

This paper describes an effective and efficient time domain speech encoding technique that has an appealingly low complexity, and produces (near) toll quality speech at rates below 16 kbit/s. The proposed coder uses linear predictive techniques to remove the short-time correlation in the speech signal. The remaining (residual) information is then modeled by a regular (in time) excitation signal that, when inputted to the time-varying model filter, produces a signal that is "close" to the reference speech signal. The procedure for finding the appropriate excitation model parameters incorporates the solution of a few sets of linear equations and is of moderate complexity compared to competing coding systems such as Adaptive Transform Coding and Multi-Pulse Excitation Coding.