Dataset Restricted Access
Rachel Bittner; Justin Salamon; Mike Tierney; Matthias Mauch; Chris Cannam; Juan Pablo Bello
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.1649325</identifier> <creators> <creator> <creatorName>Rachel Bittner</creatorName> <affiliation>New York University</affiliation> </creator> <creator> <creatorName>Justin Salamon</creatorName> <affiliation>New York University</affiliation> </creator> <creator> <creatorName>Mike Tierney</creatorName> <affiliation>New York University</affiliation> </creator> <creator> <creatorName>Matthias Mauch</creatorName> <affiliation>Queen Mary University of London</affiliation> </creator> <creator> <creatorName>Chris Cannam</creatorName> <affiliation>Queen Mary University of London</affiliation> </creator> <creator> <creatorName>Juan Pablo Bello</creatorName> <affiliation>New York University</affiliation> </creator> </creators> <titles> <title>MedleyDB Audio: A Dataset of Multitrack Audio for Music Research</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2014</publicationYear> <subjects> <subject>multitrack</subject> <subject>music</subject> <subject>stems</subject> <subject>f0 estimation</subject> <subject>source separation</subject> <subject>instrument identification</subject> <subject>pitch tracking</subject> <subject>melody estimation</subject> <subject>f0</subject> </subjects> <dates> <date dateType="Issued">2014-10-28</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1649325</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">10.5281/zenodo.1438309</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1649324</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ismir</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/mir</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/sigsep</relatedIdentifier> </relatedIdentifiers> <version>1.0</version> <rightsList> <rights rightsURI="info:eu-repo/semantics/restrictedAccess">Restricted Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Audio files for the MedleyDB multitrack dataset.&nbsp;<strong>Annotation and Metadata files are version controlled and are available in the <a href="https://github.com/marl/medleydb">MedleyDB github</a> repository:&nbsp;</strong><em>Metadata</em> can be found <a href="https://github.com/marl/medleydb/tree/master/medleydb/data/Metadata">here</a>, <em>Annotations</em> can be found <a href="https://github.com/marl/medleydb/tree/master/medleydb/data/Annotations">here</a>.</p> <p>For detailed information about the dataset, please visit MedleyDB&#39;s <a href="http://medleydb.weebly.com">website</a>.</p> <p>&nbsp;</p> <p>If you make use of MedleyDB for academic purposes, please cite the following publication:<br> <br> <em>R. Bittner, J. Salamon, M. Tierney, M. Mauch, C. Cannam and J. P. Bello, &quot;<a href="http://marl.smusic.nyu.edu/medleydb_webfiles/bittner_medleydb_ismir2014.pdf">MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research</a>&quot;, in 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan, Oct. 2014.</em></p></description> <description descriptionType="Other">{"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."]}</description> </descriptions> </resource>
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Data volume | 190.7 TB | 190.7 TB |
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Unique downloads | 2,712 | 2,711 |