Title
Methods of improving vector-scalar quantization of LPC coefficients
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.
Year
DOI
Venue
1991
10.1109/ICASSP.1991.150425
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Keywords
DocType
ISSN
data compression,encoding,filtering and prediction theory,speech analysis and processing,LPC coders,LPC coefficients,adaptive codebook,frame to frame correlation,linear predictive coding,speech coding,speech frame,vector-scalar quantization
Conference
1520-6149
ISBN
Citations 
PageRank 
0-7803-0003-3
9
0.84
References 
Authors
2
2
Name
Order
Citations
PageRank
Grass, J.190.84
Kabal, P.290.84