• DocumentCode
    1878928
  • Title

    Transcription pattern for mobile call

  • Author

    Tamgno, James K. ; Akoha, Loic ; Tidye, Kibanou Eric

  • Author_Institution
    DTE-LTI, ESMT-UCAD, Dakar, Senegal
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    722
  • Lastpage
    726
  • Abstract
    These paper summarizes the research carried out as part of the design of an Android application to transcript phone calls. The system will automatically collect out any mobile calls and transcript it with voice recognition into text, which will therefor be reordered in the memory of each mobile phone of the callers. The system allows someone to make calls and send text messages generated to both. In order to archive this, we first of all analyze voice recognition models available on different platform (iOS and Android, BlackBerry, Nokia), then we design using Android features to build new patterns necessaries to setup owner solution.
  • Keywords
    electronic messaging; mobile computing; smart phones; speech recognition; Android application; mobile call; text message; transcription pattern; voice recognition model; Biological system modeling; Computers; Mobile communication; Smart phones; Software; Speech; Speech recognition; Android; GSM; Mobile System; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2015 17th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-8-9968-6504-9
  • Type

    conf

  • DOI
    10.1109/ICACT.2015.7224890
  • Filename
    7224890