January 22, 2019 Dataset Open Access

Font, Frederic; Bogdanov, Dmitry

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  <identifier identifierType="DOI">10.5281/zenodo.2546812</identifier>
  <creators>
    <creator>
      <creatorName>Font, Frederic</creatorName>
      <givenName>Frederic</givenName>
      <familyName>Font</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4360-3210</nameIdentifier>
      <affiliation>Music Technology Group, Universitat Pompeu Fabra</affiliation>
    </creator>
    <creator>
      <creatorName>Bogdanov, Dmitry</creatorName>
      <givenName>Dmitry</givenName>
      <familyName>Bogdanov</familyName>
      <affiliation>Music Technology Group, Universitat Pompeu Fabra</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Freesound content analyzed with Audio Commons Audio Extractor V2</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-01-22</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2546812</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2546811</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset contains the outputs of running the second prototype of the&amp;nbsp;&lt;a href="https://github.com/AudioCommons/ac-audio-extractor"&gt;Audio Commons Audio Extractor&lt;/a&gt;&amp;nbsp;(ACExtractorV2)&amp;nbsp;over 292k clips of the &lt;a href="https://freesound.org"&gt;Freesound&lt;/a&gt; collection. This version of the&amp;nbsp;audio extractor is described in &lt;a href="https://www.audiocommons.org/assets/files/AC-WP4-UPF-D4.7%20Second%20prototype%20tool%20for%20the%20automatic%20semantic%20description%20of%20music%20samples.pdf"&gt;Deliverable D4.7&lt;/a&gt; of the AudioCommons project, and includes several music properties such as&amp;nbsp;&lt;strong&gt;pitch&lt;/strong&gt;,&amp;nbsp;&lt;strong&gt;key&lt;/strong&gt;&amp;nbsp;and&amp;nbsp;&lt;strong&gt;tempo&lt;/strong&gt;&amp;nbsp;(along with their confidence measures) which can be applied to music samples and music loops. It also includes prototype versions of the &lt;a href="https://github.com/AudioCommons/timbral_models"&gt;timbral models&lt;/a&gt; described in &lt;a href="https://www.audiocommons.org/assets/files/AC-WP5-SURREY-D5.6%20Second%20prototype%20of%20timbral%20characterisation%20tool%20for%20semantically%20annotating%20non-musical%20content.pdf"&gt;Deliverable 5.6&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The preset dataset is structured as a single JSON file with a dictionary in which keys correspond to Freesound sound IDs. For each sound, the full output of the Audio Commons Audio Extractor is provided as another dictionary with the following keys:&amp;nbsp;booming, note_midi, note_confidence, brightness, log_attack_time, sharpness, tonality_confidence, single_event, tempo, roughness, dynamic_range, depth, tempo_confidence, loop, note_frequency, temporal_centroid, loudness, tonality, warmth, hardness, note_name. In some cases, keys might be missing if the audio extractor could not produce a valid output for a specific property and a given file. More information about these audio properties can be found in the aforementioned deliverables and software tools.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/688382/">688382</awardNumber>
      <awardTitle>Audio Commons: An Ecosystem for Creative Reuse of Audio Content</awardTitle>
    </fundingReference>
  </fundingReferences>
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