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Schubert Winterreise Dataset

Christof Weiß; Frank Zalkow; Vlora Arifi-Müller; Meinard Müller; Hendrik Vincent Koops; Anja Volk; Harald G. Grohganz


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    "description": "<p>The <strong>Schubert Winterreise Dataset (SWD)</strong>&nbsp;is&nbsp;a multimodal dataset comprising various representations and annotations of Franz Schubert&#39;s 24-song cycle <em>Winterreise</em>. The primary material (<strong>raw data</strong>) consists of textual representations of the songs&#39; lyrics, music scores in image, symbolic, and MIDI format, as well as nine audio recordings of performances (only two included due to copyright issues). The secondary material (<strong>annotations</strong>) comprises information of musical measure positions in sheet music images and audio recordings as well as analyses of&nbsp;chords, local keys, global keys, and structural parts.&nbsp;The SWD is organized as follows:</p>\n\n<p><strong>01_RawData</strong></p>\n\n<ul>\n\t<li>lyrics_txt</li>\n\t<li>score-IMSLP_png</li>\n\t<li><em>score-IMSLP_pdf-complete.pdf</em></li>\n\t<li>score_sibelius</li>\n\t<li>score_pdf</li>\n\t<li>score_musicxml</li>\n\t<li>score_midi</li>\n\t<li>audio_wav</li>\n</ul>\n\n<p><strong>02_Annotations</strong></p>\n\n<ul>\n\t<li>ann_score-IMSLP_measure</li>\n\t<li>ann_score_chord</li>\n\t<li>ann_score_localkey-ann1</li>\n\t<li>ann_score_localkey-ann2</li>\n\t<li>ann_score_localkey-ann3</li>\n\t<li><em>ann_score_globalkey.csv</em></li>\n\t<li>ann_score_structure</li>\n\t<li>ann_audio_measure</li>\n\t<li>ann_audio_chord</li>\n\t<li>ann_audio_localkey-ann1</li>\n\t<li>ann_audio_localkey-ann2</li>\n\t<li>ann_audio_localkey-ann3</li>\n\t<li><em>ann_audio_globalkey.csv</em></li>\n\t<li>ann_audio_structure</li>\n</ul>\n\n<p><strong>03_ExtraMaterial</strong></p>\n\n<ul>\n\t<li>original data</li>\n\t<li>scripts for cutting</li>\n\t<li>licenses of the published performances</li>\n</ul>\n\n<p>Further information can be found in the README file and the accompanying journal paper.</p>\n\n<p>&nbsp;</p>\n\n<p><strong>License:</strong></p>\n\n<p>The dataset is published under a Creative Commons Attribution 3.0 Unported license (https://creativecommons.org/licenses/by/3.0/legalcode). We acknowledge the publication of the performance by baritone Randall Scarlata with pianist Jeremy Denk (denoted as SC06), published under the same license by the Isabella Stewart Gardner Museum (Boston). Please note that the audio files of this performance must not be re-distributed in modified form. All other sources for the dataset are in the Public Domain.</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>", 
    "language": "eng", 
    "title": "Schubert Winterreise Dataset", 
    "license": {
      "id": "CC-BY-3.0"
    }, 
    "journal": {
      "title": "ACM Journal on Computing and Cultural Heritage"
    }, 
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    "version": "1.1", 
    "references": [
      "Frans Absil. Musical Analysis \u2013 Visiting the Great Composers (6th ed.), 2017", 
      "Harald Grohganz. Algorithmen zur strukturellen Analyse von Musikaufnahmen. Ph.D. Dissertation. University of Bonn, Germany, 2015", 
      "Hendrik Vincent Koops. Computational Modelling of Variance in Musical Harmony. Ph.D. Dissertation. Utrecht University, Utrecht, The Netherlands, 2019", 
      "Frank Zalkow, Angel Villar Corrales, TJ Tsai, Vlora Arifi-M\u00fcller, and Meinard M\u00fcller. Tools for Semi-Automatic Bounding Box Annotation of Musical Measures in Sheet Music. In Demos and Late Breaking News of the International Society for Music Information Retrieval Conference (ISMIR). Delft, The Netherlands, 2019"
    ], 
    "keywords": [
      "music information retrieval", 
      "sound and music computing", 
      "computational musicology", 
      "corpus analysis"
    ], 
    "publication_date": "2020-07-31", 
    "creators": [
      {
        "orcid": "0000-0003-2143-4679", 
        "affiliation": "International Audio Laboratories Erlangen", 
        "name": "Christof Wei\u00df"
      }, 
      {
        "orcid": "0000-0003-1383-4541", 
        "affiliation": "International Audio Laboratories Erlangen", 
        "name": "Frank Zalkow"
      }, 
      {
        "affiliation": "International Audio Laboratories Erlangen", 
        "name": "Vlora Arifi-M\u00fcller"
      }, 
      {
        "orcid": "0000-0001-6062-7524", 
        "affiliation": "International Audio Laboratories Erlangen", 
        "name": "Meinard M\u00fcller"
      }, 
      {
        "orcid": "0000-0002-6980-7027", 
        "affiliation": "Utrecht University", 
        "name": "Hendrik Vincent Koops"
      }, 
      {
        "affiliation": "Utrecht University", 
        "name": "Anja Volk"
      }, 
      {
        "affiliation": "Blue Square Group e.V., Bonn", 
        "name": "Harald G. Grohganz"
      }
    ], 
    "notes": "For a detailed description, please see the accompanying journal paper:\nChristof Wei\u00df, Frank Zalkow, Vlora Arifi-M\u00fcller, Meinard M\u00fcller, Hendrik Vincent Koops, Anja Volk, and Harald G. Grohganz. Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis. In: ACM Journal on Computing and Cultural Heritage, 2020.", 
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