Dataset Open Access

MAST rhythm dataset

Baysal, Ozan; Bozkurt, Baris


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  <identifier identifierType="DOI">10.5281/zenodo.2620357</identifier>
  <creators>
    <creator>
      <creatorName>Baysal, Ozan</creatorName>
      <givenName>Ozan</givenName>
      <familyName>Baysal</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7271-9095</nameIdentifier>
      <affiliation>Istanbul Technical University</affiliation>
    </creator>
    <creator>
      <creatorName>Bozkurt, Baris</creatorName>
      <givenName>Baris</givenName>
      <familyName>Bozkurt</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0177-0758</nameIdentifier>
      <affiliation>Izmir Democracy University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>MAST rhythm dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>music education</subject>
    <subject>rhythm performance</subject>
    <subject>automatic assessment</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-04-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2620357</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2620356</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;The MASTrhythm dataset is a collection of 3721 audio files cropped from recordings of conservatory entrance examinations in Turkey (summer 2015 and summer 2016). The entrance examination includes various tasks such as melody reproduction (&lt;a href="https://github.com/barisbozkurt/MASTmelody_dataset"&gt;see MASTmelody dataset&lt;/a&gt;), recognition of intervals and rhythmic patterns reproduction.&lt;/p&gt;

&lt;p&gt;There are two categories for the files: reference recording (rhythmic patterns played by a jury member as the reference) and the recording of the candidate reproducing the pattern (referred as the &amp;quot;performance&amp;quot;).&lt;/p&gt;

&lt;p&gt;The candidate performances have been graded by three jury members who are teaching staff members of the conservatory. Grades are binary: pass, fail. This dataset includes only the samples for which all jury members agreed in grading with the same score. Hence, there are basically two categories for the performance files: i) performances graded as &amp;#39;fail&amp;#39; by all the jury members , ii) performances graded as &amp;#39;pass&amp;#39; by all the jury members.&lt;/p&gt;

&lt;p&gt;For each candidate performance recording, the reference recording for that session is also available.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Naming convention:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The dataset is composed of audio files. All other information is coded in the file names: &amp;#39;ref&amp;#39;: reference recording, &amp;#39;per&amp;#39;: performance recording, &amp;#39;fail&amp;#39;: performance graded as &amp;#39;fail&amp;#39;, &amp;#39;pass&amp;#39;: performance graded as &amp;#39;pass&amp;#39;&lt;/p&gt;

&lt;p&gt;There exists 40 distinct rhythmic patterns. The ID for the melody makes up the first part of the file name. Examples:&lt;/p&gt;

&lt;p&gt;&amp;#39;51_rhy1_per101559_fail.m4a&amp;#39;: Rhythmic pattern ID: &amp;#39;51_rhy1&amp;#39;, this is a candidate performance recording (candidate ID: 101559) graded as fail&lt;/p&gt;

&lt;p&gt;&amp;#39;55_rhy2_ref280758.m4a&amp;#39;: Rhythmic pattern ID: &amp;#39;55_rhy2&amp;#39;, this is a reference recording (performed by a jury member) for candidate with ID: 280758.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Acknowledgement:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This dataset has been curated within the TUBITAK (The Scientific and Technological Research Council of Turkey) funded research project 1001-215K017 targeting development of automatic assessment tools for music performances.&lt;/p&gt;</description>
  </descriptions>
</resource>
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