<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: Serhii99</title><link>https://news.ycombinator.com/user?id=Serhii99</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 20 May 2026 18:46:28 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=Serhii99" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by Serhii99 in "In 1979 engineer Hugh Padgham discovered "gated reverb" – by accident"]]></title><description><![CDATA[
<p>Working on a real-time audio classifier recently, I keep noticing how the gate-before-processing pattern from this era still rules modern audio ML. Feed silence into a sound classifier and it'll happily hallucinate something — so you put a noise gate on the input, exactly like the trick described here, just used for a different purpose.<p>Counterintuitive thing I learned: when I tried to skip the explicit gate and 'let the model learn it', accuracy dropped meaningfully. The deterministic preprocessing wins over end-to-end here. Kind of an inverse of Padgham's 'accident becomes intent' — the technique survives, just on the analysis side now instead of the production side.</p>
]]></description><pubDate>Wed, 20 May 2026 09:17:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=48205081</link><dc:creator>Serhii99</dc:creator><comments>https://news.ycombinator.com/item?id=48205081</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48205081</guid></item></channel></rss>