ACPAS dataset: Aligned Classical Piano Audio and Score (synthetic subset)
Description
ACPAS is a dataset with aligned audio and scores for classical piano music containing 497 distinct music scores aligned with 2189 performances, in total 179.77 hours. For each performance, we provide the corresponding performance audio (real recording or synthesized recording), performance MIDI, and MIDI score, together with rhythm and key annotations.
This is the Synthetic subset of the ACPAS dataset. To download the full dataset and for dataset details, please refer to the dataset webpage at https://cheriell.github.io/research/ACPAS_dataset
For any questions, suggestions, or comments, please do not hesitate to contact lele.liu@qmul.ac.uk
How to cite:
- Lele Liu, Veronica Morfi, and Emmanouil Benetos, "ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription," in ISMIR Late-breaking Demo, 2021.
Funding:
L. Liu is a research student at the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, supported jointly by the China Scholarship Council and Queen Mary University of London.
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The ACPAS dataset is created by Lele Liu, Veronica Morfi, and Emmanouil Benetos and is offered for non-commercial research use only. This is licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Please check the license on the official website to check your accessibility before requesting a download.
The creators of ACPAS and their corresponding affiliation institutes are not liable for, and expressly exclude, all liability for loss or damage however and whenever caused to anyone by any use of ACPAS or any part of it.
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