DocumentCode :
290024
Title :
Vector quantization-lattice vector quantization of speech LPC coefficients
Author :
Pan, Jianprng ; Fischer, Thomas R.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
i
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
Two-stage vector quantization-lattice vector quantization (VQ-LVQ) is used to encode the speech line spectrum pair (LSP) parameters. VQ-LVQ has the advantages of lower implementational complexity and less required memory than split vector quantization (SVQ) and multi-stage vector quantization (MSVQ) with unstructured codebooks. Based on the authors´ speech data base and the same spectral measure, VQ-LVQ can save about 3 bits/frame compared to SVQ, and has advantages of about 2 to 3 bits/frame compared to unstructured codebook MSVQ, depending on the number of stages and the survivor path search complexity. The paper also provides a discussion on some factors influencing the evaluation of the LSP encoding performance
Keywords :
computational complexity; linear predictive coding; speech coding; vector quantisation; VQ-LVQ; encoding performance; implementational complexity; speech LPC coefficients; speech line spectrum pair parameters; survivor path search complexity; vector quantization-lattice vector quantization; Computer science; Distortion measurement; Encoding; Lattices; Linear predictive coding; Redundancy; Reflection; Speech analysis; Speech coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389243
Filename :
389243
Link To Document :
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