• DocumentCode
    290028
  • Title

    Efficient vector quantisation of LPC parameters for noisy channels

  • Author

    Skinnemoen, Harald ; Perkis, Andrew

  • Author_Institution
    Dept. of Telecommun., Norwegian Inst. of Technol., Trondheim, Norway
  • Volume
    i
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    Line spectral pairs (LSP) are, because of their advantageous properties, commonly used to represent the spectral information in a linear predictive (LP) speech coder. However, the quantised spectrum is relatively sensitive to channel errors. This paper describes a robust quantiser for LSPs transmitted over noisy waveform channels, based on an optimisation of the source coder over the modulation scheme. Modulation organized vector quantisation, MOR-VQ, jointly optimises a codebook and its index assignment, governed by the defined modulation symbol constellation. The system closely follows the optimum performance theoretically available (OPTA). Moreover, the MOR-VQ scheme allows for efficient codebook search strategies
  • Keywords
    learning (artificial intelligence); linear predictive coding; modulation; noise; optimisation; self-organising feature maps; source coding; spectral analysis; speech coding; telecommunication channels; vector quantisation; Kohonen learning; LPC parameters; MOR-VQ; channel errors; codebook search; line spectral pairs; linear predictive speech coder; modulation organized vector quantisation; modulation symbol constellation; noisy waveform channels; optimisation; optimum performance theoretically available; quantised spectrum; robust quantiser; self organised map; source coder; spectral information; vector quantisation; Amplitude modulation; Channel coding; Forward error correction; Linear predictive coding; Modulation coding; Oral communication; Process design; Quadrature amplitude modulation; Speech; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389247
  • Filename
    389247