Dataset Open Access

TAU Urban Acoustic Scenes 2019 Mobile, Development dataset

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Laakso, Henri</dc:contributor>
  <dc:contributor>Bejarano Rodriguez, Ronal</dc:contributor>
  <dc:contributor>Heittola, Toni</dc:contributor>
  <dc:creator>Heittola, Toni</dc:creator>
  <dc:creator>Mesaros, Annamaria</dc:creator>
  <dc:creator>Virtanen, Tuomas</dc:creator>
  <dc:date>2019-03-11</dc:date>
  <dc:description>TUT Urban Acoustic Scenes 2019 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes:


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


Recordings were made with three devices that captured audio simultaneously. Each acoustic scene has 1440 segments (240 minutes of audio) recorded with device A (main device) and 108 segments of parallel audio (18 minutes) each recorded with devices B and C. The dataset contains in total 46 hours of audio.</dc:description>
  <dc:identifier>https://zenodo.org/record/2589332</dc:identifier>
  <dc:identifier>10.5281/zenodo.2589332</dc:identifier>
  <dc:identifier>oai:zenodo.org:2589332</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/637422/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.2589331</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/dcase</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/tut-arg</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:subject>computational auditory scene analysis</dc:subject>
  <dc:subject>acoustic scene classification</dc:subject>
  <dc:subject>audio</dc:subject>
  <dc:title>TAU Urban Acoustic Scenes 2019 Mobile, Development dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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