Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MIDI-Sheet Music Alignment Using Bootleg Score Synthesis   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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The categories of this paper are: nucl-th
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The categories of this paper are: stat
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The categories of this paper are: math-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: astro-ph
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin
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The categories of this paper are: nlin
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The categories of this paper are: comp-gas
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The categories of this paper are: q-bio
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The categories of this paper are: physics
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-th