Predictive multiple-scale lattice VQ for LSF quantization

Authors:
A. Vasilache;M. Vasilache;I. Tabus
Affiliations:
Signal Process. Lab., Tampere Univ. of Technol., Finland;-;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Year:
1999

Citing 0
Cited 3

Multiple-scale leader-lattice VQ with application to LSF quantization

Signal Processing
Robust indexing of lattices and permutation codes over binary symmetric channels

Signal Processing - From signal processing theory to implementation
Spherical logarithmic quantization

IEEE Transactions on Audio, Speech, and Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces a new lattice quantization scheme, the multiple-scale lattice vector quantization (MSLVQ), based on the truncation of the D/sub 10//sup +/ 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.