• DocumentCode
    2731935
  • Title

    ARMA lattice model for speech analysis and synthesis

  • Author

    Kwan, H.K. ; Wang, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    912
  • Abstract
    In this paper, the use of the ARMA lattice model for glottal source excited pitch synchronous speech analysis and synthesis is presented. By modeling the vocal tract with the ARMA lattice model, the effect of the nasal cavity is modeled by the introduced zeros. Consequently, a higher quality speech could be synthesized. In so doing, the limitation due to the absence of zeros for modeling a nasal sound in the LP model is overcome. The ARMA lattice model under study is computational efficient and numerically stable, which is desirable for robust speech modeling applications. Simulation results are presented and compared with those of the LP model.
  • Keywords
    autoregressive moving average processes; speech processing; speech synthesis; autoregressive moving average lattice model; linear predictive model; nasal cavity; nasal sound; speech analysis; speech modeling; speech synthesis; vocal tract; Computational efficiency; Computational modeling; Digital filters; Lattices; Parameter estimation; Poles and zeros; Robustness; Speech analysis; Speech processing; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1280748
  • Filename
    1280748