MedleyDB - Melody Subset
Creators
- 1. New York University
- 2. Queen Mary University of London
Description
Subset of MedleyDB: Mix audio files and Melody Annotations for the 108 files in the MedleyDB multitrack dataset containing melody.
There are 3 types of melody annotations released:
- melody1: "The f0 curve of the predominant melodic line drawn from a single source"
- melody2: "The f0 curve of the predominant melodic line drawn from multiple sources"
- melody3: "The f0 curves of all melodic lines drawn from multiple sources"
For further details, refer to the MedleyDB website.
Further Annotation and Metadata files are version controlled and are available in the MedleyDB github repository: Metadata can be found here, Annotations can be found here.
For detailed information about the dataset, please visit MedleyDB's website.
If you make use of MedleyDB for academic purposes, please cite the following publication:
R. Bittner, J. Salamon, M. Tierney, M. Mauch, C. Cannam and J. P. Bello, "MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research", in 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan, Oct. 2014.
Files
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Dataset compiled by Rachel Bittner, Justin Salamon, Mike Tierney, Matthias Mauch, Chris Cannam, and Juan P. Bello. MedleyDB is offered free of charge for non-commercial research use only under the terms of the Creative Commons Attribution Noncommercial License. The dataset and its contents are made available on an "as is" basis and without warranties of any kind, including without limitation satisfactory quality and conformity, merchantability, fitness for a particular purpose, accuracy or completeness, or absence of errors. Subject to any liability that may not be excluded or limited by law, NYU is not liable for, and expressly excludes, all liability for loss or damage however and whenever caused to anyone by any use of the MedleyDB dataset or any part of it.
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Additional details
Related works
- Is part of
- 10.5281/zenodo.1649325 (DOI)
References
- R. Bittner, J. Salamon, M. Tierney, M. Mauch, C. Cannam and J. P. Bello, "MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research", in 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan, Oct. 2014.