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MAST rhythm dataset

Baysal, Ozan; Bozkurt, Baris


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{
  "description": "<p>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 (<a href=\"https://github.com/barisbozkurt/MASTmelody_dataset\">see MASTmelody dataset</a>), recognition of intervals and rhythmic patterns reproduction.</p>\n\n<p>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 &quot;performance&quot;).</p>\n\n<p>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 &#39;fail&#39; by all the jury members , ii) performances graded as &#39;pass&#39; by all the jury members.</p>\n\n<p>For each candidate performance recording, the reference recording for that session is also available.</p>\n\n<p><strong>Naming convention:</strong></p>\n\n<p>The dataset is composed of audio files. All other information is coded in the file names: &#39;ref&#39;: reference recording, &#39;per&#39;: performance recording, &#39;fail&#39;: performance graded as &#39;fail&#39;, &#39;pass&#39;: performance graded as &#39;pass&#39;</p>\n\n<p>There exists 40 distinct rhythmic patterns. The ID for the melody makes up the first part of the file name. Examples:</p>\n\n<p>&#39;51_rhy1_per101559_fail.m4a&#39;: Rhythmic pattern ID: &#39;51_rhy1&#39;, this is a candidate performance recording (candidate ID: 101559) graded as fail</p>\n\n<p>&#39;55_rhy2_ref280758.m4a&#39;: Rhythmic pattern ID: &#39;55_rhy2&#39;, this is a reference recording (performed by a jury member) for candidate with ID: 280758.</p>\n\n<p><strong>Acknowledgement:</strong></p>\n\n<p>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.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Istanbul Technical University", 
      "@id": "https://orcid.org/0000-0002-7271-9095", 
      "@type": "Person", 
      "name": "Baysal, Ozan"
    }, 
    {
      "affiliation": "Izmir Democracy University", 
      "@id": "https://orcid.org/0000-0002-0177-0758", 
      "@type": "Person", 
      "name": "Bozkurt, Baris"
    }
  ], 
  "url": "https://zenodo.org/record/2620357", 
  "datePublished": "2019-04-01", 
  "keywords": [
    "music education", 
    "rhythm performance", 
    "automatic assessment"
  ], 
  "version": "1.0", 
  "contributor": [
    {
      "affiliation": "Istanbul Technical University", 
      "@type": "Person", 
      "name": "Koker, Ogul"
    }, 
    {
      "affiliation": "Istanbul Technical University", 
      "@type": "Person", 
      "name": "Guner, Burcin Bahadir"
    }
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/ae21f944-ba72-4f92-9241-3d033e332741/MAST_rhy_m4a.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.2620357", 
  "@id": "https://doi.org/10.5281/zenodo.2620357", 
  "@type": "Dataset", 
  "name": "MAST rhythm dataset"
}
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