DocumentCode
3569332
Title
Two-stage vector quantization-pyramidal lattice vector quantization and application to speech LSP coding
Author
Pan, Jianping
Author_Institution
Rockwell Semicond. Syst., Newport Beach, CA, USA
Volume
2
fYear
1996
Firstpage
737
Abstract
Motivated by two-stage vector quantization-(spherical) lattice vector quantization introduced by Pan and Fischer (1995), two-stage vector quantization-pyramidal lattice vector quantization (VQ-PLVQ) is proposed that has a lower computational requirement and a slightly superior encoding performance. The complexity of VQ-PLVQ is further reduced by introducing tree-structures into the first-stage VQ. It is found that the efficiency of tree-searching depends on source distributions. Tree-structured VQ-PLVQ provides a performance very close to VQ-PLVQ for sources with memory. Then, these two quantisation schemes are applied to encoding of speech line spectrum pair parameters. Tree-structured VQ-PLVQ is an attractive approach that achieves an outstanding performance for the spectral distortion of 1 dB as well as a significant reduction of the implementation complexity
Keywords
computational complexity; speech coding; tree data structures; tree searching; vector quantisation; LSP; VQ-PLVQ; complexity; encoding performance; line spectrum pair parameters; source distributions; spectral distortion; speech coding; tree-searching; tree-structures; two-stage vector quantization-pyramidal lattice vector quantization; Costs; Distortion measurement; Encoding; Gaussian processes; Laplace equations; Lattices; Signal to noise ratio; Speech coding; Vector quantization; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-3192-3
Type
conf
DOI
10.1109/ICASSP.1996.543226
Filename
543226
Link To Document