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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jasper: An End-to-End Convolutional Neural Acoustic Model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1904.03288/</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/1904.03288/feed.xml" rel="self" type="application/rss+xml" /><item><title>Jasper: An End-to-End Convolutional Neural Acoustic Model — mentioned by pcwelder</title><link>https://news.ycombinator.com/item?id=41982131</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.03288:41982131</guid><pubDate>Tue, 29 Oct 2024 10:25:23 GMT</pubDate><description>&lt;p&gt;&amp;gt; state of the art in speech recognition for decades Decades doesn&amp;#x27;t sound right. Around 2019, the Jasper model was SOTA among e2e models but was still slightly behind a non e2e model with an HMM component https://arxiv.org/pdf/1904.03288&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1904.03288/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>Jasper: An End-to-End Convolutional Neural Acoustic Model — mentioned by perturbation</title><link>https://news.ycombinator.com/item?id=22576874</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.03288:22576874</guid><pubDate>Sat, 14 Mar 2020 17:20:45 GMT</pubDate><description>&lt;p&gt;If you don&amp;#x27;t mind getting your hands dirty a bit, I think Nvidia&amp;#x27;s model [Jasper](https://arxiv.org/pdf/1904.03288.pdf) is near SOTA, and they have [pretrained models](https://ngc.nvidia.com/catalog/models/nvidia:jaspernet10x5dr) and [tutorials / scripts](https://nvidia.github.io/NeMo/asr/tutorial.html) freely available. The first is in their library &amp;quot;nemo&amp;quot;, but they also have it available in [vanilla Pytorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/P...) as well.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1904.03288/"&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>
