Poster Open Access

FMA: A Dataset For Music Analysis (ISMIR'17 poster)

Defferrard, Michaël


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.1035847</identifier>
  <creators>
    <creator>
      <creatorName>Defferrard, Michaël</creatorName>
      <givenName>Michaël</givenName>
      <familyName>Defferrard</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6028-9024</nameIdentifier>
      <affiliation>EPFL</affiliation>
    </creator>
  </creators>
  <titles>
    <title>FMA: A Dataset For Music Analysis (ISMIR'17 poster)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>machine learning</subject>
    <subject>music information retrieval</subject>
    <subject>open data</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-10-24</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1035847</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementedBy">https://arxiv.org/abs/1612.01840</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementedBy">https://github.com/mdeff/fma</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1035846</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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;Poster presented at ISMIR 2017 in China. The paper (https://arxiv.org/abs/1612.01840) was accepted for publication in their proceedings.&lt;/p&gt;</description>
  </descriptions>
</resource>
185
96
views
downloads
All versions This version
Views 185185
Downloads 9696
Data volume 642.0 MB642.0 MB
Unique views 172172
Unique downloads 7878

Share

Cite as