Dataset Open Access

TAU Urban Acoustic Scenes 2019, Development dataset

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas


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.2589280</identifier>
  <creators>
    <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</affiliation>
    </creator>
    <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</affiliation>
    </creator>
    <creator>
      <creatorName>Virtanen, Tuomas</creatorName>
      <givenName>Tuomas</givenName>
      <familyName>Virtanen</familyName>
      <affiliation>Tampere University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>TAU Urban Acoustic Scenes 2019, Development dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>computational auditory scene analysis</subject>
    <subject>acoustic scene classification</subject>
    <subject>audio</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-03-11</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2589280</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2589279</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/dcase</relatedIdentifier>
    <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;TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 acoustic scenes:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Airport - &lt;em&gt;airport&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Indoor shopping mall - &lt;em&gt;shopping_mall&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Metro station - &lt;em&gt;metro_station&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Pedestrian street - &lt;em&gt;street_pedestrian&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Public square - &lt;em&gt;public_square&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Street with medium level of traffic - &lt;em&gt;street_traffic&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Travelling by a tram - &lt;em&gt;tram&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Travelling by a bus - &lt;em&gt;bus&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Travelling by an underground metro - &lt;em&gt;metro&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;Urban park - &lt;em&gt;park&lt;/em&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Each acoustic scene has 1440 segments (240 minutes of audio). The dataset contains in total 40 hours 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>
</resource>
4,833
210,443
views
downloads
All versions This version
Views 4,8334,833
Downloads 210,443210,195
Data volume 351.0 TB350.6 TB
Unique views 3,7853,783
Unique downloads 10,80010,781

Share

Cite as