Florian Henkel, Rainer Kelz, Gerhard Widmer,
"Learning to Read and Follow Music Incomplete Score Sheet Images"
: In Proceedings of the 21st International Society for MusicInformation Retrieval Conference, 2020, 7-2020
Original Titel:
Learning to Read and Follow Music Incomplete Score Sheet Images
Sprache des Titels:
Englisch
Original Buchtitel:
In Proceedings of the 21st International Society for MusicInformation Retrieval Conference, 2020
Original Kurzfassung:
This paper addresses the task of score following in sheetmusic given as unprocessed images. While existing workeither relies on OMR software to obtain a computer-readable score representation, or crucially relies on pre-pared sheet image excerpts, we propose the first systemthat directly performs score following in full-page, com-pletely unprocessed sheet images. Based on incoming au-dio and a given image of the score, our system directly pre-dicts the most likely position within the page that matchesthe audio, outperforming current state-of-the-art image-based score followers in terms of alignment precision. Wealso compare our method to an OMR-based approach andempirically show that it can be a viable alternative to sucha system
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