• DocumentCode
    431650
  • Title

    Music transcription using an instrument model

  • Author

    Yin, Jun ; Sim, Terence ; Wang, Ye ; Shenoy, Arun

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Singapore, Singapore
  • Volume
    3
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    We introduce a method to transcribe music with the help of an instrument model. One of the most important and difficult problems in music transcription is polyphonic pitch estimation. Common pitch estimation algorithms reported in the literature tend to have errors in the following three situations: missing fundamental; missing harmonics; shared frequencies. We believe an instrument model can make pitch estimation more robust in these three situations and thus can help to improve music transcription accuracy. We devise a spectrum subtraction algorithm to transcribe single and multiple instrument polyphonic music.
  • Keywords
    acoustic signal processing; audio signal processing; music; parameter estimation; spectral analysis; MIDI; acoustic musical signals; instrument model; missing fundamental; missing harmonics; musical score; polyphonic music transcription; polyphonic pitch estimation; shared frequencies; spectrum subtraction algorithm; Auditory displays; Frequency estimation; Instruments; Iterative algorithms; Monitoring; Multiple signal classification; Music; Robustness; Smoothing methods; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415685
  • Filename
    1415685