| Summary: | Musical notation is a written documentation of a music. Even though
musical notation is widely used, not every musician know how to write a music
notation. This work offers automatic musical notation generation using onset
detection and fourier transform.
Duration and pitch of the notes are two basic parameters that have to be
known in order to generate music notation. Computer has the ability to recognize
both. Using Short Time Fourier Transform on audio data, the frequency of the
sound played can be captured. Onset detection method implemented to recognize
the pattern by measuring the interval between two notes, and Fourier Transform to
identify the pitch of the note.
This work implemented both methods to recognize pitch and duration of
the notes. Both data are used to create note object in order to create a music
notation. The output of the system is a musicXML formatted file. This format
allowed the output to be edited using software for music editor.
Result shows high accuracy up to 98.01% for unpitched music instrument.
Meanwhile, test on pitched music instrument only shows 59.86% accuracy.
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