Dataset Open Access

TAU Urban Acoustic Scenes 2019 Mobile, Leaderboard dataset

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas

Contact person(s)
Heittola, Toni
Data collector(s)
Laakso, Henri; Bejarano Rodriguez, Ronal

TAU Urban Acoustic Scenes 2019 Mobile, Leaderboard 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

Files (1.4 GB)
Name Size
TAU-urban-acoustic-scenes-2019-mobile-leaderboard.audio.zip
md5:e16a2f1e2d29aa7d91d9d5a24e89afb4 		1.4 GB Download
TAU-urban-acoustic-scenes-2019-mobile-leaderboard.doc.zip
md5:afa38519cd0f46ca1522fc48530ea155 		8.0 kB Download
TAU-urban-acoustic-scenes-2019-mobile-leaderboard.meta.zip
md5:e03c790e5d4905e066a4443e48d61395 		3.0 kB Download
455
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All versions This version
Views 455456
Downloads 907907
Data volume 631.8 GB631.8 GB
Unique views 406407
Unique downloads 372372
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Publication date:
May 7, 2019
DOI:
10.5281/zenodo.2673004

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10.5281/zenodo.2673004

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Keyword(s):
computational auditory scene analysis acoustic scene classification audio
Grants:
European Commission:
  • EVERYSOUND - Computational Analysis of Everyday Soundscapes (637422)
Communities:
License (for files):
Other (Non-Commercial)

Versions

Version 1 10.5281/zenodo.2673004 May 7, 2019
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