Thesis Open Access

Graph based representation of the music symbolic level. A music information retrieval application

Simonetta, Federico


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  <identifier identifierType="DOI">10.5281/zenodo.1476564</identifier>
  <creators>
    <creator>
      <creatorName>Simonetta, Federico</creatorName>
      <givenName>Federico</givenName>
      <familyName>Simonetta</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5928-9836</nameIdentifier>
      <affiliation>Università di Milano</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Graph based representation of the music symbolic level. A music information retrieval application</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Music,graph,music information retrieval,symbolic level, genre recognition</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Supervisor">
      <contributorName>Rodà, Antonio</contributorName>
      <givenName>Antonio</givenName>
      <familyName>Rodà</familyName>
      <affiliation>Università di Padova</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2018-04-09</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Thesis</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">http://tesi.cab.unipd.it/59666</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1476564</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1476563</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/federicosimonetta</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/mir</relatedIdentifier>
  </relatedIdentifiers>
  <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;In this work, a new music symbolic level representation system is described. It has been tested in two information retrieval tasks concerning similarity between segments of music and genre detection of a given segment. It could include both harmonic and contrapuntal information. Moreover, a new large dataset consisting of more than 5000 leadsheets is presented, with meta information taken from different web databases, including author information, year of first performance, lyrics, genre, etc.&lt;/p&gt;</description>
  </descriptions>
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