• DocumentCode
    294651
  • Title

    MBE synthesis of speech coded in LPC format

  • Author

    Lam, K.F. ; Chan, C.F.

  • Author_Institution
    Dept. of Electron. Eng., City Polytech. of Hong Kong, Hong Kong
  • Volume
    1
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    668
  • Abstract
    A method used to produce high quality speech from signals coded in linear predictive coding (LPC) format is proposed. In this method, speech signals coded in the LPC format is synthesized via a multiband excitation (MBE) model. Since the MBE model demands more parameters than the LPC model can provide, techniques had been developed to regenerate the necessarily information for MBE synthesis from LPC coded speech. A V/UV regeneration scheme for MBE synthesis is proposed to extract the V/UV decisions from spectral envelopes by a long term statistical training approach. Informal listening shows that the method provides a significant improvement of speech quality over conventional LPC synthesis. Simulation shows that the synthetic speech produced by the proposed method is comparable to the speech synthesized using MBE
  • Keywords
    linear predictive coding; spectral analysis; speech coding; speech intelligibility; speech synthesis; statistical analysis; LPC; MBE synthesis; V/UV regeneration scheme; high quality speech; informal listening; linear predictive coding; long term statistical training; multiband excitation; simulation; spectral envelopes; speech coding; speech quality; speech signals; speech synthesis; synthetic speech; Bit rate; Cities and towns; Costs; Data mining; Linear predictive coding; Reflection; Signal synthesis; Speech coding; Speech synthesis; Synthesizers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479686
  • Filename
    479686