• DocumentCode
    1351242
  • Title

    Real-time speech segmentation using pitch and convexity jump models: application to variable rate speech coding

  • Author

    Di Francesco, Renaud J.

  • Author_Institution
    CNET LAA/TSS/CMC, Lannion, France
  • Volume
    38
  • Issue
    5
  • fYear
    1990
  • fDate
    5/1/1990 12:00:00 AM
  • Firstpage
    741
  • Lastpage
    748
  • Abstract
    Convexity jump models are combined with period identification in the time domain to provide an efficient segmentation technique adapted to the needs of coders. The algorithm presented works online, with no training, and is speaker-independent. Structural problems found in previous systems (blank detection spots, long decision delays) have been overcome. Both the simplicity and the generality (information theory basis for the divergence test) allow applications of the automatic online segmentation method in other areas of signal processing
  • Keywords
    encoding; speech analysis and processing; speech recognition; statistical analysis; automatic online segmentation method; convexity jump models; divergence test function; period identification; pitch periods; signal processing; speaker-independent; time domain; variable rate speech coding; Bit rate; Context modeling; Delay; Filters; Robustness; Signal processing; Speech coding; Speech processing; Speech recognition; Testing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.56018
  • Filename
    56018