This paper proposes a fast algebraic codebook search for DSVD applications. In this method, the codebook search is simplified by reducing the number of possible position combinations using a mean-based track threshold multiplied by heuristically determined optimum threshold factor. And, to guarantee a complexity requirement of DSVD, the maximum number of searching position combinations is limited to 320. The proposed method reduced computational complexity considerably, compared with G.729 with a slight degradation of SNR. Particularly, it shows better speech quality with lower complexity than G.729A.
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Joon-Young JUNG, Hae-Wook CHOI, "A Fast Algebraic Codebook Search Method for DSVD Applications" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 7, pp. 915-917, July 2001, doi: .
Abstract: This paper proposes a fast algebraic codebook search for DSVD applications. In this method, the codebook search is simplified by reducing the number of possible position combinations using a mean-based track threshold multiplied by heuristically determined optimum threshold factor. And, to guarantee a complexity requirement of DSVD, the maximum number of searching position combinations is limited to 320. The proposed method reduced computational complexity considerably, compared with G.729 with a slight degradation of SNR. Particularly, it shows better speech quality with lower complexity than G.729A.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_7_915/_p
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@ARTICLE{e84-d_7_915,
author={Joon-Young JUNG, Hae-Wook CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={A Fast Algebraic Codebook Search Method for DSVD Applications},
year={2001},
volume={E84-D},
number={7},
pages={915-917},
abstract={This paper proposes a fast algebraic codebook search for DSVD applications. In this method, the codebook search is simplified by reducing the number of possible position combinations using a mean-based track threshold multiplied by heuristically determined optimum threshold factor. And, to guarantee a complexity requirement of DSVD, the maximum number of searching position combinations is limited to 320. The proposed method reduced computational complexity considerably, compared with G.729 with a slight degradation of SNR. Particularly, it shows better speech quality with lower complexity than G.729A.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - A Fast Algebraic Codebook Search Method for DSVD Applications
T2 - IEICE TRANSACTIONS on Information
SP - 915
EP - 917
AU - Joon-Young JUNG
AU - Hae-Wook CHOI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2001
AB - This paper proposes a fast algebraic codebook search for DSVD applications. In this method, the codebook search is simplified by reducing the number of possible position combinations using a mean-based track threshold multiplied by heuristically determined optimum threshold factor. And, to guarantee a complexity requirement of DSVD, the maximum number of searching position combinations is limited to 320. The proposed method reduced computational complexity considerably, compared with G.729 with a slight degradation of SNR. Particularly, it shows better speech quality with lower complexity than G.729A.
ER -