1160455
doi
10.5281/zenodo.1160455
oai:zenodo.org:1160455
user-tut-arg
user-eu
Eemi Fagerlund
Tampere University of Technology
Aku Hiltunen
Tampere University of Technology
Aleksandr Diment
Tampere University of Technology
Annamaria Mesaros
Tampere University of Technology
Toni Heittola
Tampere University of Technology
Tuomas Virtanen
Tampere University of Technology
TUT Rare sound events, Evaluation dataset
Aleksandr Diment
Tampere University of Technology
info:eu-repo/semantics/openAccess
Other (Non-Commercial)
computational auditory scene analysis
sound event detection
audio
rare events
<p>TUT Rare Sound events 2017, evaluation dataset consists of source files for creating mixtures of rare sound events (classes baby cry, gun shot, glass break) with background audio, as well a set of readily generated mixtures and recipes for generating them.</p>
<p>The "source" part of the dataset consists of two subsets:</p>
<ul>
<li>background recordings from 15 different acoustic scenes,</li>
<li>recordings with the target rare sound events from three classes, accompanied by annotations of their temporal occurrences.</li>
</ul>
<p>The mixture set consists of two 1500 mixtures (500 per target class, with half of the mixtures not containing any target class events). </p>
<p>The collection of the background recording data has been financially supported by European Research Council under the European Unions H2020 Framework Programme through ERC Grant Agreement 637422 EVERYSOUND.</p>
The license terms are specified in the LICENSE.txt file.
Zenodo
2018-01-25
info:eu-repo/semantics/other
1160454
user-tut-arg
user-eu
award_title=Computational Analysis of Everyday Soundscapes; award_number=637422; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/637422; funder_id=00k4n6c32; funder_name=European Commission;
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