• DocumentCode
    982326
  • Title

    Source combined linear predictive analysis in pulse-based speech coders

  • Author

    Hasib, A. ; Hacioglu, K.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
  • Volume
    143
  • Issue
    3
  • fYear
    1996
  • fDate
    6/1/1996 12:00:00 AM
  • Firstpage
    143
  • Lastpage
    148
  • Abstract
    The conventional linear predictive analysis in pulse-based coders is replaced by the so-called source-combined linear predictive method to match the excitations considered in two steps: synthesis filter determination and excitation search. It differs from Atal´s (1982) two-pass approach in that the synthesis filter is optimised jointly with the excitation prior to the analysis-by-synthesis (ABS) excitation search. However, it is a difficult task to obtain the optimum solution, and, thus, a suboptimal algorithm is developed. Initially, the algorithm starts with the covariance method and then corrects the synthesis filter using an estimate of the excitation. This is accomplished by using two coupled equations originally developed. The effectiveness of the approach in multipulse and regular pulse excited coders is demonstrated. Extensive simulation results, at several bit rates, with different excitations, are presented. Comparisons are made with the standard coder and the coder that employs Atal´s approach. In all conditions, the proposed coder is found to give better results
  • Keywords
    covariance analysis; filtering theory; linear predictive coding; source coding; speech coding; speech synthesis; Atal two-pass approach; analysis by synthesis coder; bit rates; coupled equations; covariance method; excitation search; linear predictive analysis; multipulse pulse excited coders; pulse based speech coders; pulse excited coders; simulation results; source combined linear predictive analysis; source combined linear predictive method; suboptimal algorithm; synthesis filter;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19960367
  • Filename
    503657