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MedleyDB Audio: A Dataset of Multitrack Audio for Music Research

Rachel Bittner; Justin Salamon; Mike Tierney; Matthias Mauch; Chris Cannam; Juan Pablo Bello


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    "description": "<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>\n\n<p>For detailed information about the dataset, please visit MedleyDB&#39;s <a href=\"http://medleydb.weebly.com\">website</a>.</p>\n\n<p>&nbsp;</p>\n\n<p>If you make use of MedleyDB for academic purposes, please cite the following publication:<br>\n<br>\n<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>", 
    "language": "eng", 
    "title": "MedleyDB Audio: A Dataset of Multitrack Audio for Music Research", 
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    "access_conditions": "<p>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:&nbsp;<a href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\">http://creativecommons.org/licenses/by-nc-sa/4.0/</a>. The dataset and its contents are made available on an &quot;as is&quot; 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.</p>", 
    "version": "1.0", 
    "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."
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      "music", 
      "stems", 
      "f0 estimation", 
      "source separation", 
      "instrument identification", 
      "pitch tracking", 
      "melody estimation", 
      "f0"
    ], 
    "publication_date": "2014-10-28", 
    "creators": [
      {
        "affiliation": "New York University", 
        "name": "Rachel Bittner"
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        "affiliation": "New York University", 
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        "affiliation": "New York University", 
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        "affiliation": "Queen Mary University of London", 
        "name": "Matthias Mauch"
      }, 
      {
        "affiliation": "Queen Mary University of London", 
        "name": "Chris Cannam"
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      {
        "affiliation": "New York University", 
        "name": "Juan Pablo Bello"
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1,604
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All versions This version
Views 1,6041,604
Downloads 989989
Data volume 39.6 TB39.6 TB
Unique views 1,1361,136
Unique downloads 449449

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