DESED_real

<strong>If you are in this page, you have to know that the content of this page is also in github associated.</strong> Link to the associated github repository: https://github.com/turpaultn/Desed Link to the paper: <em>https://hal.inria.fr/hal-02160855</em> Domestic Environment Sound Event Detection (DESED) dataset. <strong>Description</strong> This dataset is the real part of the DESED dataset. It is a subpart of Audioset. There is the material to: Download the metadata of the subset of Audioset used in DCASE 2019 task 4. <strong>Files:</strong> <strong>DESED_real_metadata.tar.gz</strong> : Annotations of subset of Audioset. <strong>audioset_strong.tsv: </strong>Metadata of an Audioset subpart strongly annotated (Shawn et al.)¹. This TSV file is a modified version of "Audioset strong" curated for our needs: Labels converted from the ontology Filename changed (Y added and timestamp going from 30000 to 30.000_40.000) Only keeping the files available for us (some Audioset files are unavailable) <strong>To download the associated soundfile, </strong>please visit<strong>: </strong>https://github.com/turpaultn/DESED . ¹Shawn Hershey, Daniel P W Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R 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.