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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zipformer: A faster and better encoder for automatic speech recognition · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.11230/</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/2310.11230/feed.xml" rel="self" type="application/rss+xml" /><item><title>Zipformer: A faster and better encoder for automatic speech recognition — mentioned by boumedinebillal</title><link>https://news.ycombinator.com/item?id=50253492</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.11230:50253492</guid><pubDate>Tue, 27 Oct 2026 01:09:39 GMT</pubDate><description>&lt;p&gt;Thanks! They&amp;#x27;re not well known outside speech circles. Zipformer is an encoder architecture from the k2 / icefall team (the next-generation Kaldi project), made for fast streaming speech recognition: https://arxiv.org/abs/2310.11230 Banafo is a small company that trained Kroko, a streaming Zipformer2 transducer, and released community models on Hugging Face: https://huggingface.co/Banafo/Kroko-ASR I picked a transducer because it suits a microcontroller. The encoder is 98% of the weights, and it runs once per 1.28 s chunk of audio, so each weight is read from PSRAM once and reused for every…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.11230/"&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>
