• DocumentCode
    3518466
  • Title

    Improving acoustic speaker verification with visual Body-Language features

  • Author

    Bregler, Christoph ; Williams, George ; Rosenthal, Sally ; McDowall, Ian

  • Author_Institution
    Courant Inst. of Math. Sci., New York Univ., New York, NY
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    1909
  • Lastpage
    1912
  • Abstract
    We show how an SVM based acoustic speaker verification system can be significantly improved in incorporating new visual features that capture the speaker´s ldquobody language.rdquo We apply this system to many hours of Internet videos and TV broadcasts of politicians and other public figures. Our data ranges from current and former US election candidates to the Queen of England, the President of France, and the Pope, while giving speeches.
  • Keywords
    acoustic signal processing; multimedia systems; speaker recognition; support vector machines; video signal processing; Internet video; TV broadcast; acoustic speaker verification; machine vision; multimedia system; support vector machine; visual body-language features; Computer vision; Feature extraction; Histograms; Loudspeakers; Natural languages; Robustness; Speaker recognition; Speech; Support vector machines; Videos; Machine vision; Motion analysis; Multimedia systems; Speaker recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959982
  • Filename
    4959982