<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2002.02562/</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/2002.02562/feed.xml" rel="self" type="application/rss+xml" /><item><title>Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss — mentioned by woodson</title><link>https://news.ycombinator.com/item?id=22903343</link><guid isPermaLink="false">urn:hackerpapers:mention:2002.02562:22903343</guid><pubDate>Fri, 17 Apr 2020 21:55:42 GMT</pubDate><description>&lt;p&gt;Recent work on transformer transducers with limited right (and left) context seem to give decent results as well: https://arxiv.org/abs/2002.02562&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2002.02562/"&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>
