• DocumentCode
    673335
  • Title

    Acoustic pattern recognition on android devices

  • Author

    Moller, Maiken Bjerg ; Steen, Kim Arild ; Gaarsdal, Jesper ; Gregersen, Torben

  • Author_Institution
    Dept. of Eng., Aarhus Univ., Aarhus, Denmark
  • fYear
    2013
  • fDate
    26-28 Sept. 2013
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    Ever since smartphones reached the general public, developers have been exploring the vast opportunities they provide. With their increasing number of sensors and processing power, we have now reached a point where the phones can collect and process large amounts of data. In this paper we present an Android application developed for acoustic pattern recognition of bird species. The acoustic data is recorded using a built-in microphone, and pattern recognition is performed on the device, requiring no network connection. The algorithm is implemented in C++ as a native Android module and the OpenCV library is used for signal processing. We conclude that the approach presented here is a viable solution to pattern recognition problems. Since it requires no network connection, it shows promise in fields such as wildlife research.
  • Keywords
    Android (operating system); C++ language; acoustic signal processing; feature extraction; linear predictive coding; microphones; smart phones; Android application; C++; OpenCV library; acoustic data; acoustic pattern recognition; bird species; built-in microphone; native Android module; smartphones; wildlife research; Acoustics; Androids; Humanoid robots; Performance evaluation; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013
  • Conference_Location
    Poznan
  • ISSN
    2326-0262
  • Electronic_ISBN
    2326-0262
  • Type

    conf

  • Filename
    6710640