Optimal estimation and speech analysis
Jerry D. Gibson, Andrew Clark Goris · 2005
Optimal estimation algorithms for the identification of the predictor coefficients for both undistorted and distorted speech are developed by first specifying appropriate state space message and observation models. Those portions of the models and the algorithms which impede their utility are discussed. A technique for identifying the predictor coefficient vector single-stage state transition matrix is derived, and experimental results using speech data are presented.