• DocumentCode
    529223
  • Title

    Accurate estimation of tone duration in Automatic music transcription

  • Author

    Funakoshi, Noboru ; Tanaka, Toshiyuki

  • Author_Institution
    Sch. of Fundamental Sci. & Technol., Keio Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    588
  • Lastpage
    590
  • Abstract
    Although the recent research in the field of Automatic music transcription has been active, there are still outstanding problems. Amongst, we focused on note-length and aim to estimate note-length exactly. In the past, Fourier or Wavelet transform are used to transform music signal into frequency domain. However, these transform can lose accuracy in time component. In this paper, we estimate tone duration from music signal without transforming it into frequency domain.
  • Keywords
    Fourier transforms; acoustic signal processing; music; Fourier transform; accurate estimation; automatic music transcription; music signal; tone duration; wavelet transform; Correlation; Estimation; Fourier transforms; Instruments; Music; Proposals; Automatic music transcription; Correlation; Music note-length extract; Short-Time Fourier Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602429