Low-Complexity Wideband LSF Quantization Using Algebraic Trellis VQ
Summary :
In this paper an algebraic trellis vector quantization (ATVQ) that introduces algebraic codebooks into trellis coded vector quantization (TCVQ) structure is presented. Low encoding complexity and minimum memory storage requirements are achieved using the proposed approach. It exploits advantages of both the TCVQ and the algebraic codebooks to know the delayed decision, the codebook widening, the low computational complexity and the no storage of codebook. This novel vector quantization scheme is used to encode the wideband speech line spectral frequencies (LSF) parameters. Experimental results on wideband speech have shown that ATVQ yields the same performance as the traditional split vector quantization (SVQ) and the TCVQ in terms of spectral distortion (SD). It can achieve a transparent quality at 47 bits/frame with a considerable reduction of memory storage and computation complexity when compared to SVQ and TCVQ.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.12 pp.2478-2486
- Publication Date
- 2009/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.2478
- Type of Manuscript
- PAPER
- Category
- Speech and Hearing
Authors
Keyword
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Abdellah KADDAI, Mohammed HALIMI, "Low-Complexity Wideband LSF Quantization Using Algebraic Trellis VQ" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 12, pp. 2478-2486, December 2009, doi: 10.1587/transinf.E92.D.2478.
Abstract: In this paper an algebraic trellis vector quantization (ATVQ) that introduces algebraic codebooks into trellis coded vector quantization (TCVQ) structure is presented. Low encoding complexity and minimum memory storage requirements are achieved using the proposed approach. It exploits advantages of both the TCVQ and the algebraic codebooks to know the delayed decision, the codebook widening, the low computational complexity and the no storage of codebook. This novel vector quantization scheme is used to encode the wideband speech line spectral frequencies (LSF) parameters. Experimental results on wideband speech have shown that ATVQ yields the same performance as the traditional split vector quantization (SVQ) and the TCVQ in terms of spectral distortion (SD). It can achieve a transparent quality at 47 bits/frame with a considerable reduction of memory storage and computation complexity when compared to SVQ and TCVQ.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.2478/_p
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@ARTICLE{e92-d_12_2478,
author={Abdellah KADDAI, Mohammed HALIMI, },
journal={IEICE TRANSACTIONS on Information},
title={Low-Complexity Wideband LSF Quantization Using Algebraic Trellis VQ},
year={2009},
volume={E92-D},
number={12},
pages={2478-2486},
abstract={In this paper an algebraic trellis vector quantization (ATVQ) that introduces algebraic codebooks into trellis coded vector quantization (TCVQ) structure is presented. Low encoding complexity and minimum memory storage requirements are achieved using the proposed approach. It exploits advantages of both the TCVQ and the algebraic codebooks to know the delayed decision, the codebook widening, the low computational complexity and the no storage of codebook. This novel vector quantization scheme is used to encode the wideband speech line spectral frequencies (LSF) parameters. Experimental results on wideband speech have shown that ATVQ yields the same performance as the traditional split vector quantization (SVQ) and the TCVQ in terms of spectral distortion (SD). It can achieve a transparent quality at 47 bits/frame with a considerable reduction of memory storage and computation complexity when compared to SVQ and TCVQ.},
keywords={},
doi={10.1587/transinf.E92.D.2478},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - Low-Complexity Wideband LSF Quantization Using Algebraic Trellis VQ
T2 - IEICE TRANSACTIONS on Information
SP - 2478
EP - 2486
AU - Abdellah KADDAI
AU - Mohammed HALIMI
PY - 2009
DO - 10.1587/transinf.E92.D.2478
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2009
AB - In this paper an algebraic trellis vector quantization (ATVQ) that introduces algebraic codebooks into trellis coded vector quantization (TCVQ) structure is presented. Low encoding complexity and minimum memory storage requirements are achieved using the proposed approach. It exploits advantages of both the TCVQ and the algebraic codebooks to know the delayed decision, the codebook widening, the low computational complexity and the no storage of codebook. This novel vector quantization scheme is used to encode the wideband speech line spectral frequencies (LSF) parameters. Experimental results on wideband speech have shown that ATVQ yields the same performance as the traditional split vector quantization (SVQ) and the TCVQ in terms of spectral distortion (SD). It can achieve a transparent quality at 47 bits/frame with a considerable reduction of memory storage and computation complexity when compared to SVQ and TCVQ.
ER -
English
