Dataset Open Access
Gontier, Felix; Lagrange, Mathieu; Aumond, Pierre; Lavandier, Catherine; Petiot, Jean-François
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Urban sound environments</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Noise mitigation</subfield> </datafield> <controlfield tag="005">20200124192320.0</controlfield> <controlfield tag="001">3248734</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">LS2N, UMR CNRS 6004, Ecole Centrale de Nantes</subfield> <subfield code="a">Lagrange, Mathieu</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">IFSTTAR, CEREMA, UMRAE</subfield> <subfield code="a">Aumond, Pierre</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">ETIS, UMR CNRS 8051, University of Paris Seine, University of Cergy-Pontoise, ENSEA</subfield> <subfield code="a">Lavandier, Catherine</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">LS2N, UMR CNRS 6004, Ecole Centrale de Nantes</subfield> <subfield code="a">Petiot, Jean-François</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">785180988</subfield> <subfield code="z">md5:66cd11cd53829b071bf68aceea138ee4</subfield> <subfield code="u">https://zenodo.org/record/3248734/files/simSceneTVB_perception.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2019-06-18</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:3248734</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">LS2N, UMR CNRS 6004, Ecole Centrale de Nantes</subfield> <subfield code="a">Gontier, Felix</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">SimSceneTVB Perception</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3248733</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3248734</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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Data volume | 7.1 GB | 7.1 GB |
Unique views | 92 | 92 |
Unique downloads | 7 | 7 |