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http://dx.doi.org/10.7776/ASK.2011.30.5.265

A Method of Adaptive ISF Split Vector Quantization Using Normalized Codebook  

Piao, Zhigang (충북대학교 전파통신공학과)
Lim, Jong-Ha (충북대학교 전파통신공학과)
Hong, Gi-Bong (충북대학교 전파통신공학과)
Lee, In-Sung (충북대학교 전파통신공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.30, no.5, 2011 , pp. 265-272 More about this Journal
Abstract
In most of the ISF (or LSF) based real time speech codec, SVQ (split vector quantization) method is used to decrease the quantizer complexity and memory size of codebook. However, it produces drawback that the level of correlation between code vectors can not be used during vector splits. This paper presents a new method of adaptive ISF vector quantization, which compensates the drawbacks of SVQ structured quantizer for wideband speech codec. In each different frame, the proposed method makes use of the correlation between splitted vectors by adaptively changing codebook distribution according to ordering property of ISF. The algorithm is evaluated in AMR-WB, and shows about 1.5 bit per frame improvement.
Keywords
LPC quantizer; Ordering property; Adaptive codebook; AMR-WB;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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