• DocumentCode
    431354
  • Title

    Automatic Dysphonia Recognition using Biologically-Inspired Amplitude-Modulation Features

  • Author

    Malyska, Nicolas ; Quatieri, Thomas F. ; Sturim, Douglas

  • Author_Institution
    Lincoln Lab., MIT, Lexington, MA, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    873
  • Lastpage
    876
  • Keywords
    Gaussian distribution; amplitude modulation; speech processing; speech recognition; AM phenomenon; GMM classification backend; Gaussian-mixture model; Kay elemetrics voice disorders database; automatic dysphonia recognition; band-dependent analysis; biologically inspired amplitude-modulation features; communications engineering; dysphonic speech; glottal source differences; inferior colliculus; larynx phonation; time-varying amplitude fluctuations; Amplitude modulation; Automatic speech recognition; Biological system modeling; Fluctuations; Larynx; Signal analysis; Spectrogram; Speech analysis; Speech recognition; Time domain analysis;
  • 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.2005.1415253
  • Filename
    1415253
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431354