Dataset Open Access

MedleyDB Sample

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


MARC21 XML Export

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    <subfield code="x">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.</subfield>
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    <subfield code="a">melody estimation</subfield>
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    <subfield code="u">New York University</subfield>
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    <subfield code="u">Queen Mary University of London</subfield>
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    <subfield code="u">Queen Mary University of London</subfield>
    <subfield code="a">Chris Cannam</subfield>
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    <subfield code="u">New York University</subfield>
    <subfield code="a">Juan Pablo Bello</subfield>
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    <subfield code="a">&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;</subfield>
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