5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Comparison Study on VQ Codevector Index Assignment

Jeng-Shyang Pan (1), Chin-Shiuh Shieh (1), Shu-Chuan Chu (2)

(1) National Kaohsiung Institute of Technology, Taiwan
(2) University of South Australia, Australia

Vector quantization is a popular technique in low bit rate coding of speech signal. The transmission index of the codevector is highly sensitive to channel noise. The channel distortion can be reduced by organizing the codevector indices suitably. Several index assignment algorithms are studied comparatively. Among them, the index allocation algorithm proposed by Wu and Barba is the fastest method but the channel distortion is the worst one. The proposed parallel tabu search algorithm reach the best performance of channel distortion.

Full Paper

Bibliographic reference.  Pan, Jeng-Shyang / Shieh, Chin-Shiuh / Chu, Shu-Chuan (1998): "Comparison study on VQ codevector index assignment", In ICSLP-1998, paper 0031.