• DocumentCode
    3054705
  • Title

    A new model of LPC excitation for producing natural-sounding speech at low bit rates

  • Author

    Atal, Bishnu S. ; Remde, Joel R.

  • Author_Institution
    Bell Laboratories, Murray Hill, NJ, USA
  • Volume
    7
  • fYear
    1982
  • fDate
    30072
  • Firstpage
    614
  • Lastpage
    617
  • Abstract
    The excitation for LPC speech synthesis usually consists of two separate signals - a delta-function pulse once every pitch period for voiced speech and white noise for unvoiced speech. This manner of representing excitation requires that speech segments be classified accurately into voiced and unvoiced categories and the pitch period of voiced segments be known. It is now well recognized that such a rigid idealization of the vocal excitation is often responsible for the unnatural quality associated with synthesized speech. This paper describes a new approach to the excitation problem that does not require a priori knowledge of either the voiced-unvoiced decision or the pitch period. All classes of sounds are generated by exciting the LPC filter with a sequence of pulses; the amplitudes and locations of the pulses are determined using a non-iterative analysis-by-synthesis procedure. This procedure minimizes a perceptual-distance metric representing subjectively-important differences between the waveforms of the original and the synthetic speech signals. The distance metric takes account of the finite-frequency resolution as well as the differential sensitivity of the human ear to errors in the formant and inter-formant regions of the speech spectrum.
  • Keywords
    Bit rate; Filters; Humans; Linear predictive coding; Pulse generation; Signal resolution; Speech enhancement; Speech recognition; Speech synthesis; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1982.1171649
  • Filename
    1171649