Generating Sheet Music From Audio Files

نویسندگان

  • Jan Dlabal
  • Richard Wedeen
چکیده

This paper describes a method for using supervised learning to generate sheet music from audio files of single instrument melodies. Support Vector Machines were used to detect the presence of up to 88 notes with one-versus-all classification. We also outline preliminary steps toward transcribing a whole melody by using a sliding window to detect note changes in an audio sample.

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تاریخ انتشار 2013