• DocumentCode
    1472710
  • Title

    Pitch predictive vector quantisation of speech waveform

  • Author

    Lowry, A. ; Hossain, S.Q.A.M.A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Queen´s Univ. of Belfast, UK
  • Volume
    25
  • Issue
    24
  • fYear
    1989
  • Firstpage
    1643
  • Lastpage
    1644
  • Abstract
    A coding algorithm is presented which combines pitch prediction with low-dimensional vector quantisation to exploit both long- and short-term correlation in the speech waveform at rates of 16 and 9.6 kbit/s. Vector quantisation of the predictor enables the stability of the synthesis filter to be assured, and also allows the use of a minimum residual energy criterion. SNRs of 17-19 dB are achieved at 16 kbit/s and 13-15 dB at 9.6 kbit/s.
  • Keywords
    encoding; filtering and prediction theory; speech analysis and processing; 13 to 19 dB; 16 kbit/s; 9.6 kbit/s; SNR; coding algorithm; long-term correlation; low-dimensional vector quantisation; minimum residual energy criterion; pitch prediction; short-term correlation; speech processing; speech waveform; synthesis filter stability;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19891101
  • Filename
    91840