Dataset Open Access

Results of the paper "Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment"

Şentürk, Sertan


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.56652</identifier>
  <creators>
    <creator>
      <creatorName>Şentürk, Sertan</creatorName>
      <givenName>Sertan</givenName>
      <familyName>Şentürk</familyName>
      <affiliation>Universitat Pompeu Fabra</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Results of the paper "Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>composition identification</subject>
    <subject>audio recordings</subject>
    <subject>subsequence dynamic time warping</subject>
    <subject>outlier detection</subject>
    <subject>ottoman turkish makam music</subject>
    <subject>hough transform</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-08-31</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/56652</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecfunded</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">Creative Commons Attribution Non Commercial Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This repository contains the composition identification and tonic identification results along with the statistical significance values presented in the paper:&lt;/p&gt;

&lt;p&gt;Şent&amp;uuml;rk, S., &amp;amp; Serra X. (2016). &lt;strong&gt;Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment.&lt;/strong&gt; In Proceedings of 13th Sound and Music Computing Conference (SMC 2016), (pp. XX&amp;ndash;XX)., Hamburg, Germany.&lt;/p&gt;

&lt;p&gt;Please cite the publication above in any work using this dataset.&lt;/p&gt;

&lt;p&gt;For the details of the results, please refer to the paper. For any further information please contact the authors.&lt;/p&gt;

&lt;p&gt;This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/FP7/267583/">267583</awardNumber>
      <awardTitle>Computational models for the discovery of the world's music</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
578
28
views
downloads
All versions This version
Views 578578
Downloads 2828
Data volume 7.7 GB7.7 GB
Unique views 569569
Unique downloads 2525

Share

Cite as