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DREANSS: DRum Event ANnotations for Source Separation

<p>The purpose of the annotations is to help develop research in source separation methods for polyphonic audio music mixtures containing drums.</p> <p>We provide a dataset that contains annotations for 22 excerpts of songs taken from different multi-track audio datasets publicly available for research purposes. These multi-track excerpts range from several genres including Rock, Reggae, electronic, Indie and Metal. The excerpts have a duration of 10 seconds each in average. This annotations dataset is divided into four folders, each of which contains the annotations of a given audio source separation dataset.</p> <p>The audio datasets that have been annotated are:</p> <ul> <li> <p>bss_oracle :&nbsp;<a href="http://bass-db.gforge.inria.fr/bss_oracle/">http://bass-db.gforge.inria.fr/bss_oracle/</a></p> </li> <li> <p>mass:&nbsp;<a href="https://www.upf.edu/web/mtg/audio-signal-separation">https://www.web/mtg/audio-signal-separation</a></p> </li> <li> <p>sisec:&nbsp;<a href="http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings">http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings</a></p> </li> </ul> <p>Please Acknowledge DREANSS in Academic Research</p> <p><strong>Using this dataset</strong></p> <p>When the DREANSS dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the DREANSS dataset cite the following publication:</p> <blockquote> <p>Ricard Marxer, Jordi Janer, &quot;<a href="http://mtg.upf.edu/node/2802">Study of Regularizations and Constraints in NMF-Based Drums Monaural Separation</a>&quot;,&nbsp;Proc. of the 7th Int. Conference on Digital Audio Effects (DAFx&rsquo;13). Maynooth, Ireland, 2013.</p> </blockquote> <p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a> and tell us about your research.</p> <p>&nbsp;</p> <p><a href="https://www.upf.edu/web/mtg/dreanss">https://www.upf.edu/web/mtg/dreanss</a></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
12
Reuse readiness
8
Engagement
4

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