<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The IBM 2016 English Conversational Telephone Speech Recognition System · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1604.08242/</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/1604.08242/feed.xml" rel="self" type="application/rss+xml" /><item><title>The IBM 2016 English Conversational Telephone Speech Recognition System — mentioned by skoocda</title><link>https://news.ycombinator.com/item?id=12046667</link><guid isPermaLink="false">urn:hackerpapers:mention:1604.08242:12046667</guid><pubDate>Wed, 06 Jul 2016 23:52:55 GMT</pubDate><description>&lt;p&gt;* I should clarify as well, for your first question. State of the art is generally either IBM&amp;#x27;s 2016 English Conversational Telephone Speech Recognition System [0], or Baidu&amp;#x27;s DeepSpeech2 [1]. IBM&amp;#x27;s is a little more complex, but I&amp;#x27;d actually argue Baidu is more promising due to the robust ability to learn new languages. 0: arxiv.org/abs/1604.08242 1: arxiv.org/abs/1512.02595&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1604.08242/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
