DocumentCode :
3068536
Title :
Predictive vector quantization
Author :
Haoui, Amine ; Messerschmitt, David G.
Author_Institution :
University of California, Berkeley, California
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
420
Lastpage :
423
Abstract :
A proposed class of vector quantizers with memory, called Predictive Vector Quantizers (PVQ), exhibits good performance (as measured by mean-squared error distortion) for the encoding of speech signals at 16 kbits/sec. Two methods for designing PVQ´s are described, and their performance is compared to that of memoryless VQ´s by computer simulation. These results indicate that, for comparable performance, the PVQ has a smaller block size and computational load than the memoryless VQ. In addition, preliminary simulations indicate that PVQ´s are less speaker dependent than memoryless vector quantizers.
Keywords :
Computer errors; Computer simulation; Decoding; Distortion measurement; Electric variables measurement; Encoding; Lattices; Size measurement; Speech; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172280
Filename :
1172280
Link To Document :
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