Dataset Open Access
Mesaros, Annamaria;
Heittola, Toni;
Virtanen, Tuomas
<?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.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/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"><p>TUT Acoustic Scenes 2016, development dataset consists of 30-seconds audio segments from 15 acoustic scenes:</p> <ul> <li>Bus - traveling by bus in the city (vehicle)</li> <li>Cafe / Restaurant - small cafe/restaurant (indoor)</li> <li>Car - driving or traveling as a passenger, in the city (vehicle)</li> <li>City center (outdoor)</li> <li>Forest path (outdoor)</li> <li>Grocery store - medium size grocery store (indoor)</li> <li>Home (indoor)</li> <li>Lakeside beach (outdoor)</li> <li>Library (indoor)</li> <li>Metro station (indoor)</li> <li>Office - multiple persons, typical work day (indoor)</li> <li>Residential area (outdoor)</li> <li>Train (traveling, vehicle)</li> <li>Tram (traveling, vehicle)</li> <li>Urban park (outdoor)</li> </ul> <p>Each acoustic scene has 78 segments totaling 39 minutes of audio.</p></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>
All versions | This version | |
---|---|---|
Views | 6,343 | 6,346 |
Downloads | 32,221 | 32,221 |
Data volume | 29.5 TB | 29.5 TB |
Unique views | 5,676 | 5,677 |
Unique downloads | 4,907 | 4,907 |