Automatic music transcription: an experiment with simple tools

  • Authors:

  • Wladyslaw Homenda

  • Affiliations:

  • Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw and Faculty of Mathematics and Computer Science, University of Bialystok, Bialystok, Poland

  • Venue:
  • IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
  • Year:
  • 2011

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Abstract

This study is focused on an automatic music transcription, i.e. converting acoustic music, stored in the form of WAVE files, to MIDI like data. An experiment on this topic is the key point of the paper. The experiment is aimed on determining what kinds of music could be successfully recognized with a simple tool rather than on searching for new recognition methods. Fourier transform was used as the recognition tool. It was utilized for analysis of music of simple harmony played with basic musical instruments.