February 8, 2016 Dataset Open Access

Mesaros, Annamaria; Heittola, Toni; Virtanen, Tuomas

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{
  "description": "<p>TUT Acoustic Scenes 2016, development dataset consists of 30-seconds audio segments from 15 acoustic scenes:</p>\n\n<ul>\n\t<li>Bus - traveling by bus in the city (vehicle)</li>\n\t<li>Cafe / Restaurant - small cafe/restaurant (indoor)</li>\n\t<li>Car - driving or traveling as a passenger, in the city (vehicle)</li>\n\t<li>City center (outdoor)</li>\n\t<li>Forest path (outdoor)</li>\n\t<li>Grocery store - medium size grocery store (indoor)</li>\n\t<li>Home (indoor)</li>\n\t<li>Lakeside beach (outdoor)</li>\n\t<li>Library (indoor)</li>\n\t<li>Metro station (indoor)</li>\n\t<li>Office - multiple persons, typical work day (indoor)</li>\n\t<li>Residential area (outdoor)</li>\n\t<li>Train (traveling, vehicle)</li>\n\t<li>Tram (traveling, vehicle)</li>\n\t<li>Urban park (outdoor)</li>\n</ul>\n\n<p>Each acoustic scene has 78 segments totaling 39 minutes of audio.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Tampere University of Technology", 
      "@id": "https://orcid.org/0000-0002-6640-9752", 
      "@type": "Person", 
      "name": "Mesaros, Annamaria"
    }, 
    {
      "affiliation": "Tampere University of Technology", 
      "@id": "https://orcid.org/0000-0002-8855-0415", 
      "@type": "Person", 
      "name": "Heittola, Toni"
    }, 
    {
      "affiliation": "Tampere University of Technology", 
      "@type": "Person", 
      "name": "Virtanen, Tuomas"
    }
  ], 
  "url": "https://zenodo.org/record/45739", 
  "datePublished": "2016-02-08", 
  "contributor": [
    {
      "affiliation": "Tampere University of Technology", 
      "@type": "Person", 
      "name": "Fagerlund, Eemi"
    }, 
    {
      "affiliation": "Tampere University of Technology", 
      "@type": "Person", 
      "name": "Hiltunen, Aku"
    }, 
    {
      "affiliation": "Tampere University of Technology", 
      "@type": "Person", 
      "name": "Heittola, Toni"
    }
  ], 
  "keywords": [
    "computational auditory scene analysis", 
    "acoustic scene classification", 
    "audio"
  ], 
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  "identifier": "https://doi.org/10.5281/zenodo.45739", 
  "@id": "https://doi.org/10.5281/zenodo.45739", 
  "@type": "Dataset", 
  "name": "TUT Acoustic scenes 2016, Development dataset"
}