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Isolated urban sound database

<p>The Isolated urban sound database contains the audio samples used to design urban sound mixtures using <a href="https://bitbucket.org/mlagrange/simscene">SimScene</a> software.&nbsp;</p> <p>This database has already been used to design urban sound mixtures that can be found in&nbsp; <a href="https://zenodo.org/record/1145855">Estimation of the road traffic sound levels based on Non-Negative Matrix Factorization dataset</a> [1] and in <a href="https://zenodo.org/record/1184443">Realistic urban sound mixture dataset</a> [2]</p> <p>The dataset contains two folders :</p> <p>- &#39;event&#39; which includes includes 231 brief sound samples considered as salient, with a 1 to 20 seconds duration and classified among 21 sound classes (ringing bell, whistling bird, car horn, passing car, hammer, barking dog, siren, footstep, metallic noise, voice...)</p> <p>- &#39;background&#39; which includes 162 long duration sounds (~1mn30), whose acoustic properties do not vary in time. This category includes among others, whistling bird, crowd noise, rain, children playing in schoolyard, constant traffic noise ...</p> <p>More details on this sound database can be found in [3]</p> <p>&nbsp;</p> <p>[1] J.-R. Gloaguen, M. Lagrange, A. Can, J.-F. Petiot, Estimation of the road traffic sound levels in urban areas based on non-negative matrix factorization techniques, submitted for publication</p> <p>[2] J.-R. Gloaguen, A. Can, M. Lagrange, J.-F. Petiot, Road traffic sound level estimation from realistic urban sound mixtures by Non-negative Matrix Factorization, submitted for publication</p> <p>[3] J.-R. Gloaguen, A. Can, M. Lagrange, J.-F. Petiot, Creation of a corpus of realistic urban sound scenes with controlled acoustic properties, in: Acoustics &rsquo;17 Boston, Vol. 141 of The Journal of the Acoustical Society of America, Acoustical Society of America and the European Acoustics Association, Boston, United States, 2017, pp. 4044&ndash;4044.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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