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arXiv · 2004.10345

MIDI-Sheet Music Alignment Using Bootleg Score Synthesis

Thitaree Tanprasert·Teerapat Jenrungrot·Meinard Mueller·T. J. Tsai
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Abstract

MIDI-sheet music alignment is the task of finding correspondences between a MIDI representation of a piece and its corresponding sheet music images. Rather than using optical music recognition to bridge the gap between sheet music and MIDI, we explore an alternative approach: projecting the MIDI data into pixel space and performing alignment in the image domain. Our method converts the MIDI data into a crude representation of the score that only contains rectangular floating notehead blobs, a process we call bootleg score synthesis. Furthermore, we project sheet music images into the same bootleg space by applying a deep watershed notehead detector and filling in the bounding boxes around each detected notehead. Finally, we align the bootleg representations using a simple variant of dynamic time warping. On a dataset of 68 real scanned piano scores from IMSLP and corresponding MIDI performances, our method achieves a 97.3% accuracy at an error tolerance of one second, outperforming several baseline systems that employ optical music recognition.

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Thitaree Tanprasert, Teerapat Jenrungrot, Meinard Mueller, T. J. Tsai. 2020-04-21. MIDI-Sheet Music Alignment Using Bootleg Score Synthesis. https://arxiv.org/abs/2004.10345

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