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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2205.05785/</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/2205.05785/feed.xml" rel="self" type="application/rss+xml" /><item><title>Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model — mentioned by ZeroGravitas</title><link>https://news.ycombinator.com/item?id=35652506</link><guid isPermaLink="false">urn:hackerpapers:mention:2205.05785:35652506</guid><pubDate>Fri, 21 Apr 2023 12:06:15 GMT</pubDate><description>&lt;p&gt;Couple of cool links they provide for WIP: &amp;gt; Additionally, we have begun experiments on two upcoming major features: - neural packet loss concealment: https://arxiv.org/pdf/2205.05785.pdf - deep redundancy: https://www.amazon.science/blog/neural-encoding-enables-more... These are using generative AI to plug gaps when a real-time audio packet goes missing in a couple of neat ways.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2205.05785/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item></channel></rss>
