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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1704.01279/</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/1704.01279/feed.xml" rel="self" type="application/rss+xml" /><item><title>Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders — mentioned by mkj</title><link>https://news.ycombinator.com/item?id=16593548</link><guid isPermaLink="false">urn:hackerpapers:mention:1704.01279:16593548</guid><pubDate>Thu, 15 Mar 2018 15:16:52 GMT</pubDate><description>&lt;p&gt;Why do you say it&amp;#x27;s FFT based? The paper https://arxiv.org/pdf/1704.01279.pdf appears to be generating temporal samples, the FFT based one is their baseline comparison.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1704.01279/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
