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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chunked Attention-based Encoder-Decoder Model for Streaming Speech Recognition · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2309.08436/</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/2309.08436/feed.xml" rel="self" type="application/rss+xml" /><item><title>Chunked Attention-based Encoder-Decoder Model for Streaming Speech Recognition — mentioned by albertzeyer</title><link>https://news.ycombinator.com/item?id=39182931</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.08436:39182931</guid><pubDate>Mon, 29 Jan 2024 21:29:11 GMT</pubDate><description>&lt;p&gt;Ah, but that sounds like a very inefficient approach, which probably still has quite high latency, and probably also performs bad in terms of word-error-rate (WER). But I&amp;#x27;m happy to be proven wrong. That&amp;#x27;s why I would like to see some actual numbers. Maybe it&amp;#x27;s still okish enough, maybe it&amp;#x27;s actually really bad. I&amp;#x27;m curious. But I don&amp;#x27;t just want to see a demo or a sloppy statement like &amp;quot;it&amp;#x27;s working ok&amp;quot;. Note that this is a highly non-trivial problem, to make a streamable speech recognition system with low latency and still good performance. There is a big research community working on just…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.08436/"&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>
