• DocumentCode
    245391
  • Title

    Development of an image processing based sheet music recognition system for iOS devices

  • Author

    Bo-Ren Wang ; Ching-Yung Chen

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    223
  • Lastpage
    224
  • Abstract
    Intelligent mobile devices with multiple sensors and technologies have been spread widely and gradually. This paper presents a sheet music recognition system that can automatically recognize and perform the musical score with a simulated piano on iOS devices. The overall music recognition system consists of three functional parts. The first part is designed to pre-process the input image of a musical score. The major task of the second part is to segment each individual object on the musical score followed by note and pitch recognition. Finally, the recognized notes are transformed to the MIDI forms and the musical score is performed by a simulated piano. The proposed system has been implemented as an App which can be run of iOS devices.
  • Keywords
    image recognition; mobile handsets; music; MIDI form; iOS device; image processing; intelligent mobile devices; musical score; note recognition; pitch recognition; sheet music recognition system; simulated piano; Computers; Image recognition; Intelligent sensors; Mobile handsets; Performance evaluation; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2014.6904069
  • Filename
    6904069