• DocumentCode
    3011402
  • Title

    Vector predictive quantization of the spectral parameters for low rate speech coding

  • Author

    Shoham, Yair

  • Author_Institution
    AT&T Bell Laboratories, Murray Hill, NJ
  • Volume
    12
  • fYear
    1987
  • fDate
    31868
  • Firstpage
    2181
  • Lastpage
    2184
  • Abstract
    Vector Predictive Quantization (VPQ) is proposed for coding the short-term spectral envelope of speech. The proposed VPQ scheme predicts the current spectral envelope from several past spectra, using a predictor codebook. The residual spectrum is coded by a residual codebook. The system operates in the log-spectral domain using a sampled version of the spectral envelope. Experimental results indicate a prediction gain in the range of 9 to 13 dB and an average log-spectral distance of 1.3 to 1.7 dB. Informal listening tests suggest that replacing the conventional scalar quantizer in a 4.8 Kbits/s CELP coder by a VPQ system allows a reduction of the rate assigned to the LPC data from 1.8 Kbits/s to 1.0 Kbits/s without any obvious difference in the perceptual quality.
  • Keywords
    Delay; Linear predictive coding; Nonlinear filters; Quantization; Signal processing; Speech analysis; Speech coding; Switches; System testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169360
  • Filename
    1169360