• DocumentCode
    323488
  • Title

    Variable model order LPC quantization

  • Author

    Ojala, Pasi ; Lakaniemi, Ari

  • Author_Institution
    Speech & Audio Syst. Lab., Nokia Res. Center, Tampere, Finland
  • Volume
    1
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    49
  • Abstract
    This paper presents a new method to apply variable bit-rate predictive quantization of the variable model order LPC parameters. In addition, the method is employed to interpolate the parameters within the analysis frame. The LPC model order selection algorithm is based on the characteristics of the input signal and on the performance of the LPC model. Hence, the variable bit-rate LPC quantization is source controlled. The number of quantized parameters needs to be identical in successive frames to be able to apply the predictive quantization and to interpolate parameters inside the frame. Therefore, the order of the LPC model of the previous frame needs to be expanded or reduced to be the same as the current frame LPC model. The advantage of variable model order LPC quantization is the lowered average bit-rate compared to a fixed rate while the speech quality remains the same
  • Keywords
    interpolation; linear predictive coding; parameter estimation; quantisation (signal); speech codecs; speech coding; speech intelligibility; variable rate codes; LPC parameters; analysis frame; average bit-rate; input signal characteristics; interpolation; model order selection algorithm; performance; source controlled quantization; speech codec; speech coding; speech quality; variable bit-rate predictive quantization; variable model order LPC quantization; Cost function; Decoding; Linear predictive coding; Predictive models; Quantization; Speech analysis; Speech codecs; Speech coding; Speech synthesis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.674364
  • Filename
    674364