February 8, 2016 Dataset Open Access

Mesaros, Annamaria; Heittola, Toni; Virtanen, Tuomas

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  <identifier identifierType="DOI">10.5281/zenodo.45739</identifier>
  <creators>
    <creator>
      <creatorName>Mesaros, Annamaria</creatorName>
      <givenName>Annamaria</givenName>
      <familyName>Mesaros</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6640-9752</nameIdentifier>
      <affiliation>Tampere University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Heittola, Toni</creatorName>
      <givenName>Toni</givenName>
      <familyName>Heittola</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8855-0415</nameIdentifier>
      <affiliation>Tampere University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Virtanen, Tuomas</creatorName>
      <givenName>Tuomas</givenName>
      <familyName>Virtanen</familyName>
      <affiliation>Tampere University of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>TUT Acoustic scenes 2016, Development dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>computational auditory scene analysis</subject>
    <subject>acoustic scene classification</subject>
    <subject>audio</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-02-08</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/45739</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/tut-arg</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;TUT Acoustic Scenes 2016, development dataset consists of 30-seconds audio segments from 15 acoustic scenes:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Bus - traveling by bus in the city (vehicle)&lt;/li&gt;
	&lt;li&gt;Cafe / Restaurant - small cafe/restaurant (indoor)&lt;/li&gt;
	&lt;li&gt;Car - driving or traveling as a passenger, in the city (vehicle)&lt;/li&gt;
	&lt;li&gt;City center (outdoor)&lt;/li&gt;
	&lt;li&gt;Forest path (outdoor)&lt;/li&gt;
	&lt;li&gt;Grocery store - medium size grocery store (indoor)&lt;/li&gt;
	&lt;li&gt;Home (indoor)&lt;/li&gt;
	&lt;li&gt;Lakeside beach (outdoor)&lt;/li&gt;
	&lt;li&gt;Library (indoor)&lt;/li&gt;
	&lt;li&gt;Metro station (indoor)&lt;/li&gt;
	&lt;li&gt;Office - multiple persons, typical work day (indoor)&lt;/li&gt;
	&lt;li&gt;Residential area (outdoor)&lt;/li&gt;
	&lt;li&gt;Train (traveling, vehicle)&lt;/li&gt;
	&lt;li&gt;Tram (traveling, vehicle)&lt;/li&gt;
	&lt;li&gt;Urban park (outdoor)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Each acoustic scene has 78 segments totaling 39 minutes of audio.&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/H2020/637422/">637422</awardNumber>
      <awardTitle>Computational Analysis of Everyday Soundscapes</awardTitle>
    </fundingReference>
  </fundingReferences>
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