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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Singing voice separation: a study on training data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1906.02618/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1906.02618/feed.xml" rel="self" type="application/rss+xml" /><item><title>Singing voice separation: a study on training data — mentioned by ikhatri</title><link>https://news.ycombinator.com/item?id=36234753</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.02618:36234753</guid><pubDate>Wed, 07 Jun 2023 22:49:54 GMT</pubDate><description>&lt;p&gt;Yup! It&amp;#x27;s a U-Net style convolutional neural network that runs on the spectrograms. There&amp;#x27;s a short 2 page abstract here: https://archives.ismir.net/ismir2019/latebreaking/000036.pdf and they cite this prior work as where they got the architecture from: https://arxiv.org/abs/1906.02618&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.02618/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SD</category></item></channel></rss>
