<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sounderfeit: Cloning a Physical Model using a Conditional Adversarial Autoencoder · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1806.09617/</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/1806.09617/feed.xml" rel="self" type="application/rss+xml" /><item><title>Sounderfeit: Cloning a Physical Model using a Conditional Adversarial Autoencoder — mentioned by radarsat1</title><link>https://news.ycombinator.com/item?id=30472659</link><guid isPermaLink="false">urn:hackerpapers:mention:1806.09617:30472659</guid><pubDate>Fri, 25 Feb 2022 21:38:02 GMT</pubDate><description>&lt;p&gt;nice, i worked on something similar some years ago but this seems more sophisticated. i had a lot of difficulty with atonal sounds especially because i was trying to take a kind of &amp;quot;neural wavetable&amp;quot; approach, but overall i found the results intriguing nonetheless. curious to check out more recent efforts. i recall the DDSP paper and assumed those ideas would apply quite nicely to this problem. [1] https://arxiv.org/abs/1806.09617&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1806.09617/"&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>
