Dataset Open Access

SimSceneTVB Perception

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


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  <identifier identifierType="DOI">10.5281/zenodo.3248734</identifier>
  <creators>
    <creator>
      <creatorName>Gontier, Felix</creatorName>
      <givenName>Felix</givenName>
      <familyName>Gontier</familyName>
      <affiliation>LS2N, UMR CNRS 6004, Ecole Centrale de Nantes</affiliation>
    </creator>
    <creator>
      <creatorName>Lagrange, Mathieu</creatorName>
      <givenName>Mathieu</givenName>
      <familyName>Lagrange</familyName>
      <affiliation>LS2N, UMR CNRS 6004, Ecole Centrale de Nantes</affiliation>
    </creator>
    <creator>
      <creatorName>Aumond, Pierre</creatorName>
      <givenName>Pierre</givenName>
      <familyName>Aumond</familyName>
      <affiliation>IFSTTAR, CEREMA, UMRAE</affiliation>
    </creator>
    <creator>
      <creatorName>Lavandier, Catherine</creatorName>
      <givenName>Catherine</givenName>
      <familyName>Lavandier</familyName>
      <affiliation>ETIS, UMR CNRS 8051, University of Paris Seine, University of Cergy-Pontoise, ENSEA</affiliation>
    </creator>
    <creator>
      <creatorName>Petiot, Jean-François</creatorName>
      <givenName>Jean-François</givenName>
      <familyName>Petiot</familyName>
      <affiliation>LS2N, UMR CNRS 6004, Ecole Centrale de Nantes</affiliation>
    </creator>
  </creators>
  <titles>
    <title>SimSceneTVB Perception</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Urban sound environments</subject>
    <subject>Noise mitigation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-06-18</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3248734</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3248733</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This is a corpus of 100 sound scenes of 45s each representing urban sound environments, including:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;6 scenes recorded in Paris,&lt;/li&gt;
	&lt;li&gt;19 scenes simulated using simScene (https://bitbucket.org/mlagrange/simscene) to replicate recorded scenarios, including the 6 recordings in this corpus,&lt;/li&gt;
	&lt;li&gt;75 scenes simulated using simScene with diverse new scenarios, containing traffic, human voices and bird sources.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The base audio files used for simulation are obtained from Freesound (https://freesound.org) and LibriSpeech (http://www.openslr.org/12).&lt;/p&gt;

&lt;p&gt;This corpus has been evaluated by a panel of participants in a listening experiment, with assessments on the following 0-10 Likert scales:&lt;/p&gt;

&lt;ol&gt;
	&lt;li&gt;&lt;strong&gt;Pleasantness&lt;/strong&gt;: Unpleasant - Pleasant,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Liveliness&lt;/strong&gt;: Inert, amorphous - Lively, eventful,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Overall loudness&lt;/strong&gt;: Quiet - Noisy,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Interest&lt;/strong&gt;: Boring, uninteresting - Stimulating, interesting,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Calmness&lt;/strong&gt;: Agitated, chaotic - Calm, peaceful,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Sound level of passing vehicles&lt;/strong&gt;: Very low - Very high,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Time of presence of traffic&lt;/strong&gt;: Never - Continuously,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Time of presence of voices&lt;/strong&gt;: Never - Continuously,&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Time of presence of birds&lt;/strong&gt;: Never - Continuously.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;The contents of this dataset are as follow:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;em&gt;assessments&lt;/em&gt;: contains evaluations by 23 subjects of perceptual scales on the corpus

	&lt;ul&gt;
		&lt;li&gt;&lt;em&gt;sXX&lt;/em&gt;: Folder corresponding to participant XX

		&lt;ul&gt;
			&lt;li&gt;&lt;em&gt;Pt_.txt&lt;/em&gt;: 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.&lt;/li&gt;
		&lt;/ul&gt;
		&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;audio&lt;/em&gt;
	&lt;ul&gt;
		&lt;li&gt;&lt;em&gt;rec&lt;/em&gt;: contains the 6 recorded 45s scenes&lt;/li&gt;
		&lt;li&gt;&lt;em&gt;rep&lt;/em&gt;: contains the 19 replicated 45s scenes, with separated tracks for source contributions&lt;/li&gt;
		&lt;li&gt;&lt;em&gt;sim&lt;/em&gt;: contains the 75 simulated 45s scenes, with separated tracks for source contributions&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;audio_list.txt&lt;/em&gt;: list of audio files in the corpus, line ordering corresponds to numbers in the first column of assessments&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;rep_exp.mat&lt;/em&gt;, &lt;em&gt;sim_exp.mat&lt;/em&gt;: Additional information about the corpus, with playback Leq and physical estimations of the perceptual time of presence of sources for each scene.&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
</resource>
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