Dataset Open Access

TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1245184", 
  "title": "TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset", 
  "issued": {
    "date-parts": [
      [
        2018, 
        5, 
        10
      ]
    ]
  }, 
  "abstract": "<p>TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset consists of 10-seconds audio segments from 10 acoustic scenes:</p>\n\n<ul>\n\t<li>Airport - <em>airport</em></li>\n\t<li>Indoor shopping mall - <em>shopping_mall</em></li>\n\t<li>Metro station - <em>metro_station</em></li>\n\t<li>Pedestrian street - <em>street_pedestrian</em></li>\n\t<li>Public square - <em>public_square</em></li>\n\t<li>Street with medium level of traffic - <em>street_traffic</em></li>\n\t<li>Travelling by a tram - <em>tram</em></li>\n\t<li>Travelling by a bus - <em>bus</em></li>\n\t<li>Travelling by an underground metro - <em>metro</em></li>\n\t<li>Urban park - <em>park</em></li>\n</ul>", 
  "author": [
    {
      "family": "Heittola, Toni"
    }, 
    {
      "family": "Mesaros, Annamaria"
    }, 
    {
      "family": "Virtanen, Tuomas"
    }
  ], 
  "type": "dataset", 
  "id": "1245184"
}
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Data volume 733.9 GB733.9 GB
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Publication date:
May 10, 2018
DOI:
10.5281/zenodo.1245184

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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)

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Version 1 10.5281/zenodo.1245184 May 10, 2018
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