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ShareScore release 0.9.0
Dataset results
5 results for “Sheet Music”
MSMD - Multimodal Sheet Music Dataset
<p>MSMD is a synthetic dataset of 497 pieces of (classical) music that contains both audio and score representations of the pieces aligned at a fine-grained level (344,742 pairs of noteheads aligned to their audio/MIDI counterpart). It can be used for training and evaluating multimodal models that enable crossing from one modality to the other, such as retrieving sheet music using recordings or following a performance in the score image.</p> <p>Please find further information and a corresponding Python package on this Github page: <a href="https://github.com/CPJKU/msmd">https://github.com/CPJKU/msmd</a></p> <p>If you use this dataset, please cite:<br> [1] Matthias Dorfer, Jan Hajič jr., Andreas Arzt, Harald Frostel, Gerhard Widmer.<br> <a href="https://transactions.ismir.net/articles/10.5334/tismir.12/">Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification</a> (<a href="https://transactions.ismir.net/articles/10.5334/tismir.12/galley/8/download/">PDF</a>).<br> Transactions of the International Society for Music Information Retrieval, issue 1, 2018.</p>
Estonian National Bibliography - sheet music
<p>A subset of sheet music metadata from the Estonian national bibliography. The Estonian national bibliography (Eesti rahvusbibliograafia - ERB) covers publications in all languages in Estonia and abroad, regardless of the medium and date of publication. The database of the national bibliography is constantly updated with newly published works. A separate part of the national bibliography is the Estonica collection, which includes both publications in foreign languages by Estonian authors and publications about Estonia and Estonians published abroad. The database is managed by the National Library of Estonia, which manages the Estonian national bibliography in accordance with the relevant laws. For more info, see <a href="https://digilab.rara.ee">https://digilab.rara.ee</a>.</p>
Dataset for "Learning to Read and Follow Music in Complete Score Sheet Images"
<p>This is the data used in the paper:<br> Florian Henkel , Rainer Kelz, Gerhard Widmer. "Learning to Read and Follow Music in Complete Score Sheet Images". Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020</p> <p>The dataset is based on the <a href="https://zenodo.org/record/2597505#.XxbJtxGxVhE">MSMD - Multimodal Sheet Music Dataset</a> and processed for the purpose of score following in complete score sheet images.</p> <pre>Please find further information and the corresponding code on this Github page: <a href="https://github.com/CPJKU/audio_conditioned_unet">https://github.com/CPJKU/audio_conditioned_unet</a> </pre>
Sheet Music
Modified [this model](http://sketchfab.com/3d-models/secret-notebook-from-paper-hospital-map-95ee39927f6e4e90b3b7ea5b38e7d1ae) by [Neo_minigan](http://sketchfab.com/neominigan) to create an open booklet of Sheet Music. For a version of this model that has been sized for use with the Oculus Rift (as well as other compatible models), check out [my Oculus page](http://cscottdavis.com/Oculus3D/)! Source: Objaverse 1.0 / Sketchfab
Computational Musicology – Distant Reading of Sheet Music
<p>2<sup>nd </sup>Lecture</p>
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