• DocumentCode
    3229725
  • Title

    Discriminative analysis for feature reduction in automatic speech recognition

  • Author

    Bocchieri, E.L. ; Wilpon, J.G.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    1
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    501
  • Abstract
    A dimensionality reduction method of the frame feature space based on discriminative analysis is discussed. A significant dimensionality reduction is obtained without loss of recognition performance in speaker independent experiments on a variety of speech databases. In addition, this procedure allows the selective incorporation of new feature components into an existing feature set
  • Keywords
    speech recognition; automatic speech recognition; dimensionality reduction method; discriminative analysis; frame feature space; recognition performance; speaker independent experiments; speech databases; Automatic speech recognition; Cepstrum; Data mining; Error analysis; Feature extraction; Independent component analysis; Performance loss; Scattering; Speech analysis; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.225862
  • Filename
    225862
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3229725