Dataset Open Access

Jamendo content analysed with the Audio Commons Analysis Service

Johan Pauwels


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            <foaf:name>Queen Mary University of London</foaf:name>
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    <dct:title>Jamendo content analysed with the Audio Commons Analysis Service</dct:title>
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    <dct:description>&lt;p&gt;This dataset contains partial output of running the final release of the &lt;a href="https://github.com/AudioCommons/faas-ac-analysis"&gt;Audio Commons Analysis Service&lt;/a&gt; on 99960 music pieces of the &lt;a href="https://licensing.jamendo.com"&gt;Jamendo Licensing&lt;/a&gt; catalogue. The service is described in &lt;a href="https://www.audiocommons.org/assets/files/AC-WP4-QMUL-D4.13%20Release%20of%20tool%20for%20the%20automatic%20semantic%20description%20of%20music%20pieces.pdf"&gt;Deliverable D4.13&lt;/a&gt; of the Audio Commons project. The analysis results are comprised of chord output including confidence for all pieces (using the software described in the deliverable) and of the output of the Essentia music extractor (v2.1_beta4-447-gc5ea2738) for 77190 of the pieces (of which tempo, beats, tuning and global-key are exposed through the API of the analysis service).&lt;/p&gt; &lt;p&gt;The dataset is formatted as a single JSON file containing an array of documents. Each document in the array has two or three top-level keys. The first key is &amp;quot;_id&amp;quot; with values of the form &amp;quot;jamendo-tracks:&amp;lt;jamendo-id&amp;gt;&amp;quot;. This id can be used to request metadata and audio through the &lt;a href="https://developer.jamendo.com"&gt;Jamendo API&lt;/a&gt;. The second key of the document is &amp;quot;chords&amp;quot;, containing a subdocument with the output of the chord extraction algorithm. The third key is &amp;quot;essentia-music&amp;quot;, which contains a subdocument with the output of the Essentia music extractor.&lt;/p&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt;</dct:description>
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    <dct:title>Audio Commons: An Ecosystem for Creative Reuse of Audio Content</dct:title>
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