Title :
Kalman filtering techniques in speech coding
Author :
Crisafulli, Sam ; Mills, James D. ; Bitmead, Robert
Author_Institution :
Dept. Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
The use of Kalman filtering (KF) techniques in speech coding is investigated. The authors show that the common linear predictor (LP) is a special case of the KF based on an all-pole signal model. They 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
Keywords :
Kalman filters; filtering and prediction theory; linear predictive coding; pulse-code modulation; speech coding; ADPCM; Kalman filtering techniques; adaptive differential pulse code modulation; all-pole signal model; coarsely quantized measurements; fixed-lag smoothing; linear predictor; speech coding; Australia; Decoding; Equations; Filtering; Kalman filters; Pulse modulation; Quantization; Smoothing methods; Speech coding; Speech enhancement;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.225968
