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| Main Authors: | , , , , , , |
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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19682859 |
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Table of Contents:
- <h2>README</h2> <p>This release contains the checkpoint of our CHI 2026 paper:</p> <p><strong>"Visualising Pianists’ Touch: Transcribing Expressive Piano Performance from Audio to Piano Key Motion"</strong></p> <p>by Jingjing Tang, Shinichi Furuya, Hayato Nishioka, Momoko Shioki, Geraint Wiggins, György Fazekas, and Vincent K.M. Cheung.<br><br>Code and instructions for using these pretrained models can be found in the official git repository: <a href="https://github.com/tangjjbetsy/VPT">https://github.com/tangjjbetsy/VPT</a></p> <p>Please follow the <strong>README</strong> in the git repository to use the checkpoint.</p> <div class="markdown-heading"> <h2>COPYING</h2> <p>This pretrained model is licensed under the Creative Commons License: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode</p> <p>Please see <strong>LICENSE.txt</strong> for the terms and conditions of this model.</p> <h2>ACKNOWLEDGMENTS</h2> <p>This work was supported by the UKRI Centre for Doctoral Training in Artificial Intelligence and Music [grant number EP/S022694/1], JST CREST [grant number JPMJCR20D4], JST CRONOS [grant number JPMJCS24N8], and Sony Computer Science Laboratories, Inc.. J. Tang is a research student jointly funded by the China Scholarship Council [grant number 202008440382] and Queen Mary University of London. G. Wiggins received funding from the Flemish Government under the "Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen". We thank the reviewers for their valuable feedback, which helped improve the quality of this work.</p> </div>