DESED_real

<p><strong>If you are in this page, you have to know that the content of this page is also in github associated.</strong></p> <p>Link to the associated github repository: <a href="https://github.com/turpaultn/Desed">https://github.com/turpaultn/Desed</a></p> <p>Link to the paper: <a href="https://hal.inria.fr/hal-02160855"><em>https://hal.inria.fr/hal-02160855</em></a></p> <p>Domestic Environment Sound Event Detection (DESED) dataset.</p> <p><strong>Description</strong></p> <p>This dataset is the real part of the DESED dataset. It is a subpart of Audioset.</p> <p>There is the material to:</p> <ul> <li>Download the metadata of the subset of Audioset used in DCASE 2019 task 4.</li> </ul> <p><strong>Files:</strong></p> <ol> <li><strong>DESED_real_metadata.tar.gz</strong>&nbsp;: Annotations of subset of Audioset.</li> <li><strong>audioset_strong.tsv: </strong>Metadata of an Audioset subpart strongly annotated (Shawn et al.)¹. This TSV file is a modified version of &quot;Audioset strong&quot; curated for our needs: <ol> <li>Labels converted from the ontology</li> <li>Filename changed (Y added and timestamp going from 30000 to 30.000_40.000)</li> <li>Only keeping the files available for us (some Audioset files are unavailable)</li> </ol> </li> </ol> <p><strong>To download the associated soundfile, </strong>please visit<strong>: </strong><a href="https://github.com/turpaultn/DESED">https://github.com/turpaultn/DESED</a> .</p> <p>&nbsp;</p> <p>¹Shawn Hershey, Daniel P&nbsp;W Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R&nbsp;Channing Moore, and Manoj Plakal. <em>The benefit of temporally-strong labels in audio event classification.</em> In 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2021.</p> <ul> </ul>