• DocumentCode
    542194
  • Title

    Multiple description speech coding with diversities

  • Author

    Zhong, Xin ; Juang, Biing-hwang

  • Author_Institution
    Center for Signal and Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    Multiple description coding (MDC) allows management of tradeoff in achievable rate-distortion performance among various components in a processing (coding-decoding) system or channels in a transmission scheme. Current MDC methods first fix performance of the central decoder at a conventional single description (SD) level. and then inject inter-channel redundancy to side coders to provide the needed robustness in case of information loss during transmission. In this work. we relegate the SD structure and quality to side decoders, and concentrate on improving the central decoder beyond the known SD quality. We provide justification for this alternative, state its inherent nature and challenge, and propose an efficient method to design MD coder under such criterion.
  • Keywords
    Artificial neural networks; Decoding; Lead; Roads; Signal to noise ratio; Speech coding; Vocoders;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5743683
  • Filename
    5743683