Dataset Open Access

VocalSketch Data Set v1.0.4

Cartwright, Mark; Pardo, Bryan


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  <identifier identifierType="DOI">10.5281/zenodo.13862</identifier>
  <creators>
    <creator>
      <creatorName>Cartwright, Mark</creatorName>
      <affiliation>Interactive Audio Lab, Department of Electrical Engineering and Computer Science, Northwestern University</affiliation>
    </creator>
    <creator>
      <creatorName>Pardo, Bryan</creatorName>
      <affiliation>Interactive Audio Lab, Department of Electrical Engineering and Computer Science, Northwestern University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Vocalsketch Data Set V1.0.4</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2015</publicationYear>
  <subjects>
    <subject>user interaction</subject>
    <subject>vocal imitation</subject>
    <subject>audio software</subject>
    <subject>foley</subject>
    <subject>audio search</subject>
    <subject>sound</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2015-01-09</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/13862</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.1145/2702123.2702387</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://github.com/interactiveaudiolab/VocalSketchDataSet/releases/tag/v1.0.4</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This data set contains thousands of vocal imitations of a large set of diverse sounds. These imitations were collected from hundreds of contributors via Amazon&amp;#39;s Mechanical Turk website. The data set also contains data on hundreds of people&amp;#39;s ability to correctly label these vocal imitations, also collected via Amazon&amp;#39;s Mechanical Turk. This data set will help the research community understand which audio concepts can be effectively communicated with this approach. We have released this data so the community can study the related issues and build systems that leverage vocal imitation as an interaction modality, such as search engines that can be queried by vocally imitating the desired sound.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;This data set is a supplement to a paper. Please cite the following paper to reference this data set in a publication:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Cartwright, M., Pardo, B. VocalSketch: Vocally Imitating Audio Concepts. In &lt;em&gt;Proceedings of ACM Conference on Human Factors in Computing Systems&lt;/em&gt;&amp;nbsp;(2015). http://dx.doi.org/10.1145/2702123.2702387&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;See&amp;nbsp;https://github.com/interactiveaudiolab/VocalSketchDataSet for the latest updates to this data set.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Interactive Audio Lab: http://music.eecs.northwestern.edu&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Cartwright, M., Pardo, B. VocalSketch: Vocally Imitating Audio Concepts. In Proceedings of ACM Conference on Human Factors in Computing Systems (2015). http://dx.doi.org/10.1145/2702123.2702387"]}</description>
  </descriptions>
</resource>

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