• DocumentCode
    258027
  • Title

    The acoustic adaptive frightening device-framework and algorithms

  • Author

    Steen, Kim Arild ; Karstoft, Henrik

  • Author_Institution
    Dept. of Eng., Aarhus Univ., Aarhus, Denmark
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1117
  • Lastpage
    1121
  • Abstract
    Current frightening devices are inefficient, because of habituation. This paper presents concepts and algorithms for an adaptive frightening device, which is capable of measuring its own success and thereby alter frightening strategies if beginning habituation is observed. The framework includes acoustic detection and recognition of conflict species and their behavior. The proposed framework has been tested in field experiments where goose activity was heavily reduced for 5-6 weeks.
  • Keywords
    acoustic devices; acoustic signal detection; bioacoustics; acoustic adaptive frightening device; acoustic detection; acoustic recognition; conflict species; frightening strategy; Acoustics; Birds; Pattern recognition; Signal processing algorithms; Signal to noise ratio; GFCC; GMM; MFCC; SVM; intelligent agent; pattern recognition; wildlife management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032295
  • Filename
    7032295