• DocumentCode
    2600941
  • Title

    Voiced speech synthesis with a nonlinear glottal model

  • Author

    Kumar, Arun ; Gersho, Allen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • fYear
    1997
  • fDate
    7-10 Sep 1997
  • Firstpage
    3
  • Lastpage
    4
  • Abstract
    We propose a model for voiced speech synthesis using a threshold autoregressive (TAR) glottal flow model. It reconstructs the pitch periodicity and tracks small pitch period variations even at a low parameter update rate of 20 ms, without requiring explicit pitch information. The model overcomes several limitations of traditional glottal models and has potential for application to high quality speech synthesis and low bit rate speech coding
  • Keywords
    autoregressive processes; signal reconstruction; speech coding; speech synthesis; high quality speech synthesis; low bit rate speech coding; nonlinear glottal model; pitch periodicity reconstruction; small pitch period variations; threshold autoregressive glottal flow model; voiced speech synthesis; Bit rate; Digital signal processing; Filtering; Nonlinear filters; Parameter estimation; Phase estimation; Signal synthesis; Speech coding; Speech synthesis; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
  • Conference_Location
    Pocono Manor, PA
  • Print_ISBN
    0-7803-4073-6
  • Type

    conf

  • DOI
    10.1109/SCFT.1997.623867
  • Filename
    623867
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2600941