Methods of improving vector-scalar quantization of LPC coefficients

Authors:
J. Grass;P. Kabal
Affiliations:
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada;Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Venue:
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Year:
1991

Citing 0
Cited 2

A long history quantization approach to scalar and vector quantization of LSP coefficients

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Efficient coding of LPC parameters using adaptive prefiltering and MSVQ with partially adaptive codebook

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II

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Abstract

Methods of improving vector-scalar quantization of linear predictive coding (LPC) coefficients with 20 to 30 bits per 20 ms speech frame are studied. The first approach used is to couple the vector and scalar quantization stages. The second innovation is the incorporation of a small adaptive codebook to the larger fixed codebook. Frame-to-frame correlation of the LPC coefficients is exploited at no extra cost in bits. It is shown that the performance of vector-scalar quantization of speech with the use of the two new techniques is better than that of scalar coding techniques currently used in LPC coders.