• DocumentCode
    2631044
  • Title

    Speaker Count application for smartphone platforms

  • Author

    Agneessens, Alessio ; Bisio, Igor ; Lavagetto, Fabio ; Marchese, Mario ; Sciarrone, Andrea

  • Author_Institution
    Dept. of Commun., Comput. & Syst. Sci., Univ. of Genoa, Genoa, Italy
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    361
  • Lastpage
    366
  • Abstract
    This paper presents a Speaker Count (SC) algorithm based on pitch estimation designed to recognize singlespeaker audio recordings from two-speaker recordings. The paper reports the implementation for Symbian OS smartphones. The proposed solution is aimed at limiting implementation complexity and related battery consumption with respect to the schemes available in the literature. This action is mandatory due to the restricted resources available on smartphones. A practical experimental campaign of the proposal is conducted in real smartphones. The Speaker Count method has produced encouraging experimental results. The results also show that the implemented method allows saving energy and acting in a reasonable amount of time.
  • Keywords
    Algorithm design and analysis; Application software; Audio recording; Batteries; Cepstral analysis; Classification tree analysis; Computational complexity; Context-aware services; Mobile computing; Pervasive computing; Audio Speaker Count; Context Aware Applications; Low Battery Consumption; Low Computational Load; Multimedia Communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Pervasive Computing (ISWPC), 2010 5th IEEE International Symposium on
  • Conference_Location
    Modena, Italy
  • Print_ISBN
    978-1-4244-6855-3
  • Electronic_ISBN
    978-1-4244-6857-7
  • Type

    conf

  • DOI
    10.1109/ISWPC.2010.5483789
  • Filename
    5483789