Dataset Open Access

SimSceneTVB Perception

Gontier, Felix; Lagrange, Mathieu; Aumond, Pierre; Lavandier, Catherine; Petiot, Jean-François


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{
  "description": "<p>This is a corpus of 100 sound scenes of 45s each representing urban sound environments, including:</p>\n\n<ul>\n\t<li>6 scenes recorded in Paris,</li>\n\t<li>19 scenes simulated using simScene (https://bitbucket.org/mlagrange/simscene) to replicate recorded scenarios, including the 6 recordings in this corpus,</li>\n\t<li>75 scenes simulated using simScene with diverse new scenarios, containing traffic, human voices and bird sources.</li>\n</ul>\n\n<p>The base audio files used for simulation are obtained from Freesound (https://freesound.org) and LibriSpeech (http://www.openslr.org/12).</p>\n\n<p>This corpus has been evaluated by a panel of participants in a listening experiment, with assessments on the following 0-10 Likert scales:</p>\n\n<ol>\n\t<li><strong>Pleasantness</strong>: Unpleasant - Pleasant,</li>\n\t<li><strong>Liveliness</strong>: Inert, amorphous - Lively, eventful,</li>\n\t<li><strong>Overall loudness</strong>: Quiet - Noisy,</li>\n\t<li><strong>Interest</strong>: Boring, uninteresting - Stimulating, interesting,</li>\n\t<li><strong>Calmness</strong>: Agitated, chaotic - Calm, peaceful,</li>\n\t<li><strong>Sound level of passing vehicles</strong>: Very low - Very high,</li>\n\t<li><strong>Time of presence of traffic</strong>: Never - Continuously,</li>\n\t<li><strong>Time of presence of voices</strong>: Never - Continuously,</li>\n\t<li><strong>Time of presence of birds</strong>: Never - Continuously.</li>\n</ol>\n\n<p>Assessments from 23 subjects are available for the 6 recorded and 19 simulated scenes, and from 7 to 8 subjects for the 75 simulated scenes.</p>\n\n<p>The contents of this dataset are as follow:</p>\n\n<ul>\n\t<li><em>assessments</em>: contains evaluations by 23 subjects of perceptual scales on the corpus\n\n\t<ul>\n\t\t<li><em>sXX</em>: Folder corresponding to participant XX\n\n\t\t<ul>\n\t\t\t<li><em>Pt_.txt</em>: Contains assessments. Each line corresponds to one scene, columns correspond to (resp.) scene number (see audio_list.txt for correspondance), pleasantness, liveliness, overall loudness, interest, calmness, sound level of passing vehicles, time of presence of traffic, human voices, bird sources.</li>\n\t\t</ul>\n\t\t</li>\n\t</ul>\n\t</li>\n\t<li><em>audio</em>\n\t<ul>\n\t\t<li><em>rec</em>: contains the 6 recorded 45s scenes</li>\n\t\t<li><em>rep</em>: contains the 19 replicated 45s scenes, with separated tracks for source contributions</li>\n\t\t<li><em>sim</em>: contains the 75 simulated 45s scenes, with separated tracks for source contributions</li>\n\t</ul>\n\t</li>\n\t<li><em>audio_list.txt</em>: list of audio files in the corpus, line ordering corresponds to numbers in the first column of assessments</li>\n\t<li><em>rep_exp.mat</em>, <em>sim_exp.mat</em>: Additional information about the corpus, with playback Leq and physical estimations of the perceptual time of presence of sources for each scene.</li>\n</ul>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "LS2N, UMR CNRS 6004, Ecole Centrale de Nantes", 
      "@type": "Person", 
      "name": "Gontier, Felix"
    }, 
    {
      "affiliation": "LS2N, UMR CNRS 6004, Ecole Centrale de Nantes", 
      "@type": "Person", 
      "name": "Lagrange, Mathieu"
    }, 
    {
      "affiliation": "IFSTTAR, CEREMA, UMRAE", 
      "@type": "Person", 
      "name": "Aumond, Pierre"
    }, 
    {
      "affiliation": "ETIS, UMR CNRS 8051, University of Paris Seine, University of Cergy-Pontoise, ENSEA", 
      "@type": "Person", 
      "name": "Lavandier, Catherine"
    }, 
    {
      "affiliation": "LS2N, UMR CNRS 6004, Ecole Centrale de Nantes", 
      "@type": "Person", 
      "name": "Petiot, Jean-Fran\u00e7ois"
    }
  ], 
  "url": "https://zenodo.org/record/3248734", 
  "datePublished": "2019-06-18", 
  "keywords": [
    "Urban sound environments", 
    "Noise mitigation"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/d4c74642-f2df-4b33-b2a1-ccb6ab590df8/simSceneTVB_perception.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3248734", 
  "@id": "https://doi.org/10.5281/zenodo.3248734", 
  "@type": "Dataset", 
  "name": "SimSceneTVB Perception"
}
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