June 1, 2020 Conference paper Open Access

Bernardes, Gilberto

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  <identifier identifierType="DOI">10.5281/zenodo.4813176</identifier>
  <creators>
    <creator>
      <creatorName>Bernardes, Gilberto</creatorName>
      <givenName>Gilberto</givenName>
      <familyName>Bernardes</familyName>
    </creator>
  </creators>
  <titles>
    <title>Interfacing Sounds: Hierarchical Audio-Content Morphologies for Creative Re-purposing in earGram 2.0</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <contributors>
    <contributor contributorType="Editor">
      <contributorName>Michon, Romain</contributorName>
      <givenName>Romain</givenName>
      <familyName>Michon</familyName>
    </contributor>
    <contributor contributorType="Editor">
      <contributorName>Schroeder, Franziska</contributorName>
      <givenName>Franziska</givenName>
      <familyName>Schroeder</familyName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2020-06-01</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4813176</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="ISSN" relationType="IsPartOf">2220-4806</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4813175</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/nime_conference</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">Audio content-based processing has become a pervasive methodology for techno-fluent musicians. System architectures typically create thumbnail audio descriptions, based on signal processing methods, to visualize, retrieve and transform musical audio efficiently. Towards enhanced usability of these descriptor-based frameworks for the music community, the paper advances a minimal content-based audio description scheme, rooted on primary musical notation attributes at the threefold sound object, meso and macro hierarchies. Multiple perceptually-guided viewpoints from rhythmic, harmonic, timbral and dynamic attributes define a discrete and finite alphabet with minimal formal and subjective assumptions using unsupervised and user-guided methods. The Factor Oracle automaton is then adopted to model and visualize temporal morphology. The generative musical applications enabled by the descriptor-based framework at multiple structural hierarchies are discussed.</description>
  </descriptions>
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