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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.15423/</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/2206.15423/feed.xml" rel="self" type="application/rss+xml" /><item><title>Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain — mentioned by lapink</title><link>https://news.ycombinator.com/item?id=32366326</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.15423:32366326</guid><pubDate>Sat, 06 Aug 2022 09:02:19 GMT</pubDate><description>&lt;p&gt;The goal of Meta AI Research is to do open research, not necessarily with direct applications at the time we start it. Indeed, the architecture, or the lessons learnt working on it can become useful later for the company, for instance for remote presence with VR, to isolate the main speaker from its environnement ( https://arxiv.org/pdf/2206.15423.pdf ).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.15423/"&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>
