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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Spiking Music: Audio Compression with Event Based Auto-encoders · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.01571/</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/2402.01571/feed.xml" rel="self" type="application/rss+xml" /><item><title>Spiking Music: Audio Compression with Event Based Auto-encoders — mentioned by xavriley</title><link>https://news.ycombinator.com/item?id=43370713</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.01571:43370713</guid><pubDate>Sat, 15 Mar 2025 07:29:16 GMT</pubDate><description>&lt;p&gt;This is cool - there’s some similar work here https://arxiv.org/pdf/2402.01571 which uses spiking neural networks (essentially Dirac pulses). I think the next step for this would be to learn a tonal embedding of the source alongside the event embedding so that you don’t have to rely on physically modelled priors. There’s some interesting work on guitar amp tone modelling that’s doing this already https://zenodo.org/records/14877373&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.01571/"&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>
