• DocumentCode
    2188736
  • Title

    Low-Complexity PARCOR Coefficient Quantizer and Prediction Order Estimator for G.711.0 (Lossless Speech Coding)

  • Author

    Kamamoto, Yutaka ; Moriya, Takehiro ; Harada, Noboru

  • Author_Institution
    NTT Commun. Sci. Labs., Nippon Telegraph & Telephone Corp., Atsugi, Japan
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    475
  • Lastpage
    483
  • Abstract
    This paper presents two low-complexity tools used for the new ITU-T recommendation G.711.0, which is the standard for lossless compression of G.711 (A-law/Mu-law logarithmic PCM) speech data. One is an algorithm for quantizing the PARCOR/reflection coefficients and the other is an estimation method for the optimal prediction order. Both tools are based on a criterion that minimizes the entropy of the prediction residual signals and can be implemented in a fixed-point low-complexity algorithm. G.711.0 with the developed practical tools will be widely used everywhere because it can losslessly reduce the data rate of G.711, the prevailing speech-coding technology.
  • Keywords
    data compression; quantisation (signal); speech coding; G.711 lossless compression; ITU-T recommendation; entropy; fixed-point low-complexity algorithm; lossless compression; low-complexity PARCOR coefficient quantizer; optimal prediction order; prediction order estimator; reflection coefficients; residual signals; speech-coding technology; Codecs; Decoding; Entropy; Linear predictive coding; Phase change materials; Pulse modulation; Quantization; Reflection; Signal processing; Speech coding; G.711; Linear predictive coding; Lossless compression; Speech coding; Standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2010
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4244-6425-8
  • Electronic_ISBN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2010.49
  • Filename
    5453469