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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2010.12096/</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/2010.12096/feed.xml" rel="self" type="application/rss+xml" /><item><title>Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data — mentioned by nshm</title><link>https://news.ycombinator.com/item?id=24898195</link><guid isPermaLink="false">urn:hackerpapers:mention:2010.12096:24898195</guid><pubDate>Mon, 26 Oct 2020 16:48:55 GMT</pubDate><description>&lt;p&gt;Meanwhile Google trains their systems on 3 million hours of Youtube audio gaining 30% better accuracy: https://arxiv.org/abs/2010.12096 It improves much faster than you might think.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2010.12096/"&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>
