All-pole model parameter estimation for voiced speech

To overcome the limitations of linear prediction based all-pole models of voiced speech, we present some new methods for obtaining the parameters of all-pole filters. In particular, we present a technique based on the minimum variance distortionless response (MVDR) spectrum estimation method. With a sufficient filter order, MVDR filters model voiced speech formants exactly. Utilizing a property of MVDR all-pole filters, we present a technique for obtaining low order perceptually weighted all-pole filters. These new all-pole models provide superior modeling of medium pitch and high pitch voiced speech.