• DocumentCode
    1742197
  • Title

    Time-frequency methods for biological signal estimation

  • Author

    Nelson, D. ; Loughlin, P. ; Cristóbal, G. ; Cohen, L.

  • Author_Institution
    Dept. of Defense, Ft. Meade, MD, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    110
  • Abstract
    We present methods for obtaining basic signal parameters and apply them to the problem of detection, estimation, and enhancement of biological signals. We apply these methods to human speech and whale sounds. In speech, the methods are used to obtain statistical properties of the signal so that the derived features may be used to cluster speakers. For whale sounds we show that the methods may be effectively used not only to obtain signal components and parameters but to also adaptively filter off the noise
  • Keywords
    Fourier transforms; audio signal processing; filtering theory; parameter estimation; speech processing; statistical analysis; time-frequency analysis; Fourier transform; adaptive filter; biological signal estimation; human speech; parameter estimation; statistical analysis; time-frequency analysis; whale sounds; Delay effects; Delay estimation; Filtering; Fourier transforms; Humans; Loudspeakers; Parameter estimation; Speech; Time frequency analysis; Whales;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903497
  • Filename
    903497