3248734
doi
10.5281/zenodo.3248734
oai:zenodo.org:3248734
Lagrange, Mathieu
LS2N, UMR CNRS 6004, Ecole Centrale de Nantes
Aumond, Pierre
IFSTTAR, CEREMA, UMRAE
Lavandier, Catherine
ETIS, UMR CNRS 8051, University of Paris Seine, University of Cergy-Pontoise, ENSEA
Petiot, Jean-François
LS2N, UMR CNRS 6004, Ecole Centrale de Nantes
SimSceneTVB Perception
Gontier, Felix
LS2N, UMR CNRS 6004, Ecole Centrale de Nantes
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Urban sound environments
Noise mitigation
<p>This is a corpus of 100 sound scenes of 45s each representing urban sound environments, including:</p>
<ul>
<li>6 scenes recorded in Paris,</li>
<li>19 scenes simulated using simScene (https://bitbucket.org/mlagrange/simscene) to replicate recorded scenarios, including the 6 recordings in this corpus,</li>
<li>75 scenes simulated using simScene with diverse new scenarios, containing traffic, human voices and bird sources.</li>
</ul>
<p>The base audio files used for simulation are obtained from Freesound (https://freesound.org) and LibriSpeech (http://www.openslr.org/12).</p>
<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>
<ol>
<li><strong>Pleasantness</strong>: Unpleasant - Pleasant,</li>
<li><strong>Liveliness</strong>: Inert, amorphous - Lively, eventful,</li>
<li><strong>Overall loudness</strong>: Quiet - Noisy,</li>
<li><strong>Interest</strong>: Boring, uninteresting - Stimulating, interesting,</li>
<li><strong>Calmness</strong>: Agitated, chaotic - Calm, peaceful,</li>
<li><strong>Sound level of passing vehicles</strong>: Very low - Very high,</li>
<li><strong>Time of presence of traffic</strong>: Never - Continuously,</li>
<li><strong>Time of presence of voices</strong>: Never - Continuously,</li>
<li><strong>Time of presence of birds</strong>: Never - Continuously.</li>
</ol>
<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>
<p>The contents of this dataset are as follow:</p>
<ul>
<li><em>assessments</em>: contains evaluations by 23 subjects of perceptual scales on the corpus
<ul>
<li><em>sXX</em>: Folder corresponding to participant XX
<ul>
<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>
</ul>
</li>
</ul>
</li>
<li><em>audio</em>
<ul>
<li><em>rec</em>: contains the 6 recorded 45s scenes</li>
<li><em>rep</em>: contains the 19 replicated 45s scenes, with separated tracks for source contributions</li>
<li><em>sim</em>: contains the 75 simulated 45s scenes, with separated tracks for source contributions</li>
</ul>
</li>
<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>
<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>
</ul>
Zenodo
2019-06-18
info:eu-repo/semantics/other
3248733
1579893800.474141
785180988
md5:66cd11cd53829b071bf68aceea138ee4
https://zenodo.org/records/3248734/files/simSceneTVB_perception.zip
public
10.5281/zenodo.3248733
isVersionOf
doi