[AUDITORY] Slakh2100: new dataset with 145 hours of musical mixtures with isolated sources and MIDI (Ethan Manilow )


Subject: [AUDITORY] Slakh2100: new dataset with 145 hours of musical mixtures with isolated sources and MIDI
From:    Ethan Manilow  <ethanmanilow2015@xxxxxxxx>
Date:    Fri, 20 Sep 2019 22:59:54 +0000
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--000000000000f097b70593040748 Content-Type: text/plain; charset="UTF-8" Hi all, On this New Music Friday <https://en.wikipedia.org/wiki/Global_Release_Day> I'm excited to announce *Slakh2100*! Slakh2100 is a new dataset that contains 2100 songs, totaling over 145 hours of musical mixture data. Each mixture also comes with isolated sources and MIDI data. Slakh is synthesized by using professional-grade sample-based synthesizers to render 2100 files from the Lakh MIDI Dataset by Colin Raffel. As you can guess, there are no vocals (hard to synthesize :-P), but there are many, many more instrument classes than have existed in other datasets. We hope everyone finds this dataset useful! For more information see our preprint here: https://arxiv.org/abs/1909.08494 Here's the landing page for the site (*downloads*, scripts, analysis, benchmarks): www.slakh.com Thanks! -Ethan Manilow, Gordon Wichern, Prem Seetharaman, and Jonathan Le Roux --000000000000f097b70593040748 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div><div style=3D"overflow:auto"><div style=3D"max-height= :10000px"><div dir=3D"ltr"><div>Hi all,</div><div><br></div><div>On this <a= href=3D"https://en.wikipedia.org/wiki/Global_Release_Day" target=3D"_blank= " rel=3D"nofollow">New Music Friday</a> I&#39;m excited to announce <b>Slak= h2100</b>! Slakh2100 is a new dataset that contains 2100 songs, totaling over 145=20 hours of musical mixture data. Each mixture also comes with isolated=20 sources and MIDI data. Slakh is synthesized by using professional-grade=20 sample-based synthesizers to render 2100 files from the Lakh MIDI=20 Dataset by Colin Raffel. As you can guess, there are no vocals (hard to=20 synthesize :-P), but there are many, many more instrument classes than=20 have existed in other datasets. We hope everyone finds this dataset=20 useful!</div><div><br></div><div>For more information see our preprint here= : <a href=3D"https://arxiv.org/abs/1909.08494" target=3D"_blank" rel=3D"nof= ollow">https://arxiv.org/abs/1909.08494</a><br></div><div><br></div><div>He= re&#39;s the landing page for the site (<b>downloads</b>, scripts, analysis= , benchmarks): <a href=3D"http://www.slakh.com" target=3D"_blank" rel=3D"no= follow">www.slakh.com</a></div><div><br></div><div>Thanks!</div><div>-Ethan= Manilow, Gordon Wichern, Prem Seetharaman, and Jonathan Le Roux</div></div= ></div></div></div></div> --000000000000f097b70593040748--


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