• DocumentCode
    595336
  • Title

    Timed and probabilistic automata for automatic animal Call Recognition

  • Author

    Shufei Duan ; Jinglan Zhang ; Roe, Paul ; Towsey, Michael ; Buckingham, L.

  • Author_Institution
    Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    2910
  • Lastpage
    2913
  • Abstract
    Automatic Call Recognition is vital for environmental monitoring. Patten recognition has been applied in automatic species recognition for years. However, few studies have applied formal syntactic methods to species call structure analysis. This paper introduces a novel method to adopt timed and probabilistic automata in automatic species recognition based upon acoustic components as the primitives. We demonstrate this through one kind of birds in Australia: Eastern Yellow Robin.
  • Keywords
    acoustic signal detection; biocommunications; environmental science computing; finite automata; probabilistic automata; Australia; Eastern Yellow Robin; acoustic components; automatic animal call recognition; automatic species recognition; birds; environmental monitoring; formal syntactic methods; patten recognition; probabilistic automata; species call structure analysis; timed automata; Acoustics; Automata; Birds; Detectors; Probabilistic logic; Spectrogram; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460774