• DocumentCode
    2948742
  • Title

    Multi-instrument musical transcription using a dynamic graphical model

  • Author

    Vogel, Brian K. ; Jordan, Michael I. ; Wessel, David

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    5
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    We present a dynamic graphical model (DGM) for automated multi-instrument musical transcription. By multi-instrument transcription, we mean a system capable of listening to a recording in which two or more instruments are playing, and identifying both the notes that were played and the instruments that played them. Our transcription system models two musical instruments, each capable of playing at most one note at a time. We present results for two-instrument transcription on piano and violin sounds.
  • Keywords
    acoustic signal processing; audio signal processing; belief networks; music; musical instruments; automated music transcription; dynamic Bayesian network; dynamic graphical model; instrument identification; multi-instrument musical transcription; note identification; piano sounds; violin sounds; Audio recording; Bayesian methods; Computer science; Graphical models; Instruments; Music information retrieval; Robustness; Speech recognition; Statistics; Timbre;
  • 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.2005.1416348
  • Filename
    1416348