• DocumentCode
    931022
  • Title

    Predictive entropy coding for speech analysis

  • Author

    Hrvatin, S.E. ; Mark, J.W.

  • Author_Institution
    University of Waterloo, Department of Electrical Engineering, Waterloo, Canada
  • Volume
    131
  • Issue
    5
  • fYear
    1984
  • fDate
    8/1/1984 12:00:00 AM
  • Firstpage
    537
  • Lastpage
    541
  • Abstract
    Entropy coding using codes with a simple structure is used in connection with predictive coding to reduce the transmission rate. The predictive coder uses a quantiser with a large number of levels to minimise the effects of slope overload. An adaptive quantising scheme is used to maintain system operation at a point that yields a minimum redundancy. Experimental results on speech coding show that the adaptive predictive entropy coding scheme achieves a good signal-to-noise ratio (SNR) versus rate performance. At a 2-bits-per-sample (12.8 kbit/sec)rate, a segmental SNR of 14 dB is achieved; at 3 bits-per-sample (19.2 kbit/sec), the segmental SNR is 20 dB.
  • Keywords
    encoding; speech analysis and processing; SNR; adaptive predictive entropy coding; adaptive quantisation; predictive coder; predictive coding; quantiser; signal-to-noise ratio; slope overload; speech analysis; speech coding; transmission rate;
  • fLanguage
    English
  • Journal_Title
    Communications, Radar and Signal Processing, IEE Proceedings F
  • Publisher
    iet
  • ISSN
    0143-7070
  • Type

    jour

  • DOI
    10.1049/ip-f-1:19840080
  • Filename
    4646336