Title :
Contour-gain vector quantization
Author :
Malone, Kevin T. ; Fischer, Thomas R.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
6/1/1988 12:00:00 AM
Abstract :
An information-theory motivation for considering a contour-gain codebook structure is given and an iterative contour-gain vector quantizer (CGVQ) algorithm allowing optimization of the shape codebook for a fixed-gain codebook is described. Numerical results are presented for CGVQ encoding of first-, second-, and tenth-order Gauss-Markov sources, and a clear improvement over SGVQ (shape-gain vector quantizer) performance is demonstrated. Numerical results are also presented for CGVQ waveform encoding of speech, and again an improvement over SGVQ performance is demonstrated. The perceptual quality of the encoded speech was roughly equivalent for the two models
Keywords :
Markov processes; analogue-digital conversion; codes; encoding; iterative methods; optimisation; speech analysis and processing; CGVQ; Gauss-Markov sources; contour-gain codebook structure; encoding; information-theory motivation; iterative contour-gain vector quantizer; optimization; perceptual quality; speech; Algorithm design and analysis; Clustering algorithms; Encoding; Gaussian processes; Iterative algorithms; Product codes; Shape; Signal processing algorithms; Speech coding; Vector quantization;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
