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Proceedings Paper

Fast algorithms for practical vector quantization in speech coders
Author(s): John S. Collura; Mary A. Kohler
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Paper Abstract

This paper will describe the vector quantization (VQ) of speech spectrum parameters as used in state of the art real time speech coding algorithms. The complexity of these speech coding algorithms, combined with the constraints of real time operation, limit the practical size of the vector quantization tables. This conflicts with the requirement that large VQ tables are needed to provide high quality coded speech. The goal of this paper is to demonstrate the feasibility of using tree searched vector quantizers to overcome this conflict.

Paper Details

Date Published: 7 June 1996
PDF: 9 pages
Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); doi: 10.1117/12.241989
Show Author Affiliations
John S. Collura, DIRNSA/U.S. Dept. of Defense (United States)
Mary A. Kohler, DIRNSA/U.S. Dept. of Defense (United States)

Published in SPIE Proceedings Vol. 2750:
Digital Signal Processing Technology
Joseph Picone, Editor(s)

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