• DocumentCode
    2775705
  • Title

    Automatic prosodic clustering of humpback whales song

  • Author

    Picot, G. ; Adam, O. ; Bergounioux, M. ; Glotin, H. ; Mayer, F.-X.

  • Author_Institution
    Univ. Orleans, Orleans
  • fYear
    2008
  • fDate
    14-17 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We automatically segmented a humpback whale song using the Roger Payne´s principle of sound unit and we patterned and automatically classified intonations of sound units thanks to an unsupervised algorithm to describe recurrent patterns. We determined 6 different patterns of intonation. Some different sound units present the same pattern of intonation and one sound unit can be submitted to different patterns of intonation. Intonation could be related to information´s transmission between humpback whales while they are singing.
  • Keywords
    acoustic signal processing; pattern classification; pattern clustering; automatic prosodic clustering; humpback whales song; sound unit intonation classification; unsupervised algorithm; Acoustic signal processing; Computer languages; Databases; Frequency estimation; Loudspeakers; Signal processing algorithms; Software algorithms; Sonar; Spectrogram; Whales;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends for Environmental Monitoring Using Passive Systems, 2008
  • Conference_Location
    Hyeres, French Riviera
  • Print_ISBN
    978-1-4244-2815-1
  • Electronic_ISBN
    978-1-4244-2816-8
  • Type

    conf

  • DOI
    10.1109/PASSIVE.2008.4786974
  • Filename
    4786974