DocumentCode :
1696602
Title :
Comparison of LPC algorithms for real-time speech processing
Author :
Kinsner, W. ; Swanson, C.
Author_Institution :
Dept. of Electr. Eng., Univ. of Manitoba, Winnipeg, Man., Canada
fYear :
1989
Firstpage :
661
Abstract :
Several methods for solving Yule-Walker equations, including the autocorrelation, covariance, lattice, and covariance-lattice algorithms, are investigated. Computational efficiency, memory requirements, stability, optimality, spectral resolution and fixed-point suitability of the algorithms are studied and compared. Such an analysis is required by real-time fixed-point implementations of linear predictive coding (LPC) of speech signals
Keywords :
biology computing; computerised signal processing; speech analysis and processing; LPC algorithms; Yule-Walker equations solution; autocorrelation algorithm; computational efficiency; covariance algorithm; covariance-lattice algorithm; lattice algorithm; linear predictive coding; memory requirements; optimality; real-time speech processing; spectral resolution; stability; Autocorrelation; Computational efficiency; Equations; Lattices; Linear predictive coding; Signal analysis; Signal resolution; Speech analysis; Speech processing; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/IEMBS.1989.95919
Filename :
95919
Link To Document :
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