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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jukebox: A Generative Model for Music · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2005.00341/</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/2005.00341/feed.xml" rel="self" type="application/rss+xml" /><item><title>Jukebox: A Generative Model for Music — mentioned by vvolhejn</title><link>https://news.ycombinator.com/item?id=45660560</link><guid isPermaLink="false">urn:hackerpapers:mention:2005.00341:45660560</guid><pubDate>Tue, 21 Oct 2025 19:32:26 GMT</pubDate><description>&lt;p&gt;I don&amp;#x27;t know about linear models, but this kind of hierarchical modelling is quite a common idea in speech research. For example, OpenAI&amp;#x27;s Jukebox (2020) [1], which uses a proto-neural audio codec, has three levels of encoding that get coarser and coarser. They use a language model to predict continuations in the coarsest level and then have models to upscale to the finer levels and finally back to audio. The recent MiMo-audio bunches tokens into &amp;quot;patches&amp;quot; of four timesteps and has the model predict those. [2] [1] https://arxiv.org/abs/2005.00341 [2]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2005.00341/"&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>
