• DocumentCode
    431380
  • Title

    Kernel Eigenspace-based MLLR Adaptation Using Multiple Regression Classes

  • Author

    Hsiao, Roger ; Mak, Brian

  • Author_Institution
    Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., China
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    985
  • Lastpage
    988
  • Keywords
    adaptive signal processing; eigenvalues and eigenfunctions; maximum likelihood estimation; optimisation; principal component analysis; regression analysis; speech recognition; KEMLLR; KEV; KPCA; eigenmatrices; eigenvoice-based adaptation methods; kernel eigenspace-based MLLR adaptation; kernel eigenvoice adaptation; kernel principal component analysis; kernel-induced high dimensional feature space; multiple regression classes; quasi-Newton BFGS optimization algorithm; speaker-dependent HMM; speaker-dependent MLLR transformation matrices; Application software; Bayesian methods; Computer science; Hidden Markov models; Kernel; Loudspeakers; Maximum likelihood linear regression; Principal component analysis; Space technology; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415281
  • Filename
    1415281
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431380