• DocumentCode
    1652538
  • Title

    Variable dimension matrix quantization of LSP parameters for very low bit rate vocoder below 300bps

  • Author

    Gang, Min ; Ji-bin, Yang ; Yan-pu, Chen ; Xiong-wei, Zhang

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Tech.
  • fYear
    2008
  • Firstpage
    534
  • Lastpage
    537
  • Abstract
    This paper examines the efficient quantization of LSP parameters for very low bit rate vocoder below 300 bps, a new quantization scheme called variable dimension matrix quantization (VDMQ) is presented. In the VDMQ scheme, the extracted LSP parameters matrix with variable dimension is quantized directly without dimension conversion. Based on the distance measure definition between tow LSP matrices with different dimension, the optimal codeword is deduced. Theoretical analysis and experiment results show that the VDMQ scheme performs better than the segment quantization and matrix quantization scheme at very low bit rate. Also, the codebook storage is almost reduced by 90%. The VDMQ scheme provides a new effective approach for efficient LSP parameters quantization at very low bit rate.
  • Keywords
    matrix algebra; quantisation (signal); vocoders; LSP parameters; distance measure definition; low bit rate vocoder; matrix quantization scheme; optimal codeword; segment quantization; theoretical analysis; variable dimension matrix quantization; Artificial satellites; Bit rate; Linear predictive coding; Performance analysis; Programmable logic arrays; Speech; Underwater communication; Vector quantization; Vocoders; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697188
  • Filename
    4697188