Kalman filtering techniques in speech coding

Authors:
Sam Crisafulli;James D. Mills;Robert R. Bitmead
Affiliations:
Dept. of Systems Eng., RSPhysSE, Australian National University, Canberra, ACT, Australia;Tellabs Research Center, Mishawaka, IN;Dept. of Systems Eng., RSPhysSE, Australian National University, Canberra, ACT, Australia
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

Citing 2
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Systems & Control Letters
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Abstract

The use of Kalman filtering (KF) techniques in speech coding is investigated. We show that the common Linear Predictor (LP) is a special case of the KF based on an all-pole signal model. We also show that the KF algorithm provides fixed-lag smoothing at no additional complexity. Simulation results reveal that KF based speech coding has significant advantage over the equivalent LP based systems, particularly when used with coarsely quantized measurements.