Predictive multiple-scale lattice VQ for LSF quantization

Author

Vasilache, Adriana ; Vasilache, Marcel ; Tabus, Ioan

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

2

fYear

1999

fDate

15-19 Mar 1999

Firstpage

657

Abstract

This paper introduces a new lattice quantization scheme, the multiple-scale lattice vector quantization (MSLVQ), based on the truncation of the D₁₀⁺ lattice. The codebook is composed of several copies of the truncated lattice scaled with different scaling factors. A fast nearest neighbor search is introduced. We compare the performance of predictive MSLVQ for quantization of line spectrum frequency (LSF) coefficients with the quantization technique used in the G.729 codec and show the better performance of our method in terms of spectral distortion. The MSLVQ scheme achieves the transparent quality at 21 bits/frame

Keywords

lattice theory; linear predictive coding; search problems; spectral analysis; speech coding; vector quantisation; G.729 codec; LPC parameters; LSF quantization; MSLVQ; VQ; codebook; fast nearest neighbor search; lattice quantization scheme; lattice truncation; line spectrum frequency coefficients; predictive multiple-scale lattice vector quantization; scaling factors; spectral distortion; speech coding; transparent quality; Bit rate; Codecs; Decoding; Frequency; Lattices; Linear predictive coding; Nearest neighbor searches; Signal processing; Speech coding; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.759752

Filename

759752