Audio Coding for Representation in MIDI via Pitch Detection Using Harmonic Dictionaries

  • Authors:
  • Nicholas J. Sieger;Ahmed H. Tewfik

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455;Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455

  • Venue:
  • Journal of VLSI Signal Processing Systems - special issue on multimedia signal processing
  • Year:
  • 1998

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Abstract

The search for a flexible and concise alternate representation fordigital musical sound leads to the proposal for the use of the MIDI(Musical Instrument Digital Interface) protocol. The problem becomesone of automating the conversion process from sound to MIDI. Thisrequires processing musical sound and extracting the informationnecessary to represent the sound as MIDI data. We have conductedstudies which have led to algorithms for segmentation of the sound andpitch detection of the individual notes. We describe a novel methodfor pitch detection using subset selection with dictionariescontaining harmonic spectra from samples of musical sounds. Examplesdemonstrating applicability to monophonic sounds as well as signalswith multiple sound sources are given, including detection of objectsin a complex background scene.