DocumentCode :
337454
Title :
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
Link To Document :
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