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Proceedings Paper

Optimization strategy on G.723.1 speech coder algorithm: clustering analysis method and its application
Author(s): Shutang Yang; Shengsheng Yu; Jingli Zhou
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Paper Abstract

The algorithms of G.723.1 coder are analyzed and studied in this paper. Searching the large-sized codebook in this coder is still found to be time-consuming. Therefore, in order to speed up the code vector searching and optimize the algorithms, a new fast vector quantization method based on clustering analysis is put forward. The scheme of realizing the specific clustering analysis algorithm is described. Experiments and actual execution on G.723.1 coder show that its executive efficiency has been obviously improved by the optimization while its speech quality has little degradation.

Paper Details

Date Published: 22 March 2001
PDF: 8 pages
Proc. SPIE 4209, Multimedia Systems and Applications III, (22 March 2001); doi: 10.1117/12.420835
Show Author Affiliations
Shutang Yang, Huazhong Univ. of Science and Technology (China)
Shengsheng Yu, Huazhong Univ. of Science and Technology (China)
Jingli Zhou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4209:
Multimedia Systems and Applications III
Andrew G. Tescher; Bhaskaran Vasudev; V. Michael Bove Jr., Editor(s)

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