• DocumentCode
    2019304
  • Title

    Vector quantizer design for the coding of LSF parameters

  • Author

    Collura, J.S. ; Tremain, Thomas E.

  • Author_Institution
    US Dept. of Defense, Washington, DC, USA
  • Volume
    2
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    29
  • Abstract
    Techniques for vector quantization of the line spectrum frequency (LSF) representation of speech spectra are described. Applications for spectral vector quantization include very low rate (300 to 1200 bits/s) speech coders, the half rate digital cellular speech coders, and many other linear prediction-based speech coders. Some of the techniques and tradeoffs for the quantization of LSF speech spectra for low data rate coding with minimal distortion are examined. The most important of these is the overlaying of binary trees on split-vector vector quantizing code books. The ultimate goal of this work is the implementation of speech coders on single-chip digital-signal-processing (DSP) architectures for real-time devices.<>
  • Keywords
    digital signal processing chips; real-time systems; speech coding; vector quantisation; vocoders; binary trees; line spectrum frequency; low data rate coding; minimal distortion; real-time devices; single-chip DSP architectures; spectral vector quantization; speech coders; speech spectra; tradeoffs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319220
  • Filename
    319220