• DocumentCode
    2233070
  • Title

    Automatic transcription of piano polyphonic music

  • Author

    Kobzantsev, Alex ; Chazan, Dan ; Zeevi, Yehoshua

  • Author_Institution
    Dept. of Electr. Eng., Technion-IIT, Haifa, Israel
  • fYear
    2005
  • fDate
    15-17 Sept. 2005
  • Firstpage
    414
  • Lastpage
    418
  • Abstract
    A novel algorithm for automatic transcription of piano polyphonic music is proposed. It is based on a processing scheme that incorporates the following subtasks: segmentation of notes in time domain, estimation of frequency components based on the structure of time segments, extraction of pitches of underlying notes, and tracking of notes to obtain the final music score. A combination of multiresolution techniques, such as multiresolution Fourier transform and maximum likelihood frequency estimator, enables the user to successfully cope with the problems of constant time-frequency resolution and frequency masking. The algorithm demonstrates a better performance then results obtained by means of existing commercial software.
  • Keywords
    Fourier transforms; acoustic signal processing; maximum likelihood estimation; musical instruments; signal resolution; time-frequency analysis; automatic transcription; frequency estimation; frequency masking; maximum likelihood frequency estimator; multiresolution Fourier transform; piano polyphonic music; signal segmentation; time-frequency resolution; Fourier transforms; Frequency estimation; Instruments; Iterative algorithms; Maximum likelihood estimation; Multiple signal classification; Signal processing algorithms; Signal resolution; Software algorithms; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on
  • ISSN
    1845-5921
  • Print_ISBN
    953-184-089-X
  • Type

    conf

  • DOI
    10.1109/ISPA.2005.195447
  • Filename
    1521326