Dataset Open Access

MedleyDB Sample

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


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    <dct:title>MedleyDB Sample</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2014</dct:issued>
    <dcat:keyword>multitrack</dcat:keyword>
    <dcat:keyword>music</dcat:keyword>
    <dcat:keyword>stems</dcat:keyword>
    <dcat:keyword>f0 estimation</dcat:keyword>
    <dcat:keyword>source separation</dcat:keyword>
    <dcat:keyword>instrument identification</dcat:keyword>
    <dcat:keyword>pitch tracking</dcat:keyword>
    <dcat:keyword>melody estimation</dcat:keyword>
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    <dct:description>&lt;p&gt;Sample of the MedleyDB dataset:&amp;nbsp;&lt;a href="http://medleydb.weebly.com/"&gt;http://medleydb.weebly.com/&lt;/a&gt;&lt;/p&gt; &lt;p&gt;MedleyDB was curated primarily to support research on melody extraction, addressing important shortcomings of existing collections. For each song we provide melody f0 annotations as well as instrument activations for evaluating automatic instrument recognition. The dataset is also useful for research on tasks that require access to the individual tracks of a song such as source separation and automatic mixing.&lt;/p&gt;</dct:description>
    <dct:description>{"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."]}</dct:description>
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