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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2209.15329/</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/2209.15329/feed.xml" rel="self" type="application/rss+xml" /><item><title>SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data — mentioned by reliableturing</title><link>https://news.ycombinator.com/item?id=35369678</link><guid isPermaLink="false">urn:hackerpapers:mention:2209.15329:35369678</guid><pubDate>Thu, 30 Mar 2023 08:29:00 GMT</pubDate><description>&lt;p&gt;This is exactly part of this Google USM approach, although these pretrained models are significantly smaller than ChatGPT. They reference this paper [1] which contains more details on the pretrained text-only alignment with the speech model. [1] https://arxiv.org/abs/2209.15329&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2209.15329/"&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>
