<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Streaming automatic speech recognition with the transformer model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2001.02674/</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/2001.02674/feed.xml" rel="self" type="application/rss+xml" /><item><title>Streaming automatic speech recognition with the transformer model — mentioned by jonathanleroux</title><link>https://news.ycombinator.com/item?id=22050061</link><guid isPermaLink="false">urn:hackerpapers:mention:2001.02674:22050061</guid><pubDate>Tue, 14 Jan 2020 22:49:31 GMT</pubDate><description>&lt;p&gt;If I may insert a relevant plug: we (MERL) just put out a paper last week with SOTA 7.0 % WER on LibriSpeech test-other (vs wav2letter@anywhere&amp;#x27;s 7.5%) with 590 ms theoretical latency using joint CTC-Transformer with parallel time-delayed LSTM and triggered attention. Check it out: https://arxiv.org/abs/2001.02674&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2001.02674/"&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>
