All-pole modeling of degraded speech

1978/06/01 by Jae Lim, Jae S. Lim, A. Oppenheim +1 · 4 citations
Engineering · Computer Science · #Advanced Adaptive Filtering Techniques #Control Systems and Identification #Speech and Audio Processing

paper · doi:10.1109/tassp.1978.1163086

Abstract

This paper considers the estimation of speech parameters in an all-pole model when the speech has been degraded by additive background noise. The procedure, based on maximum a posteriori (MAP) estimation techniques is first developed in the absence of noise and related to linear prediction analysis of speech. The modification in the presence of background noise is shown to be nonlinear. Two suboptimal procedures are suggested which have linear iterative implementations. A preliminary illustration and discussion based both on a synthetic example and real speech data are given.

Citations

• System identification—A survey

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