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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>High Fidelity Neural Audio Compression · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2210.13438/</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/2210.13438/feed.xml" rel="self" type="application/rss+xml" /><item><title>High Fidelity Neural Audio Compression — mentioned by bravura</title><link>https://news.ycombinator.com/item?id=41236938</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.13438:41236938</guid><pubDate>Tue, 13 Aug 2024 16:27:28 GMT</pubDate><description>&lt;p&gt;For instance: https://github.com/descriptinc/descript-audio-codec/blob/mai... https://github.com/NVIDIA/BigVGAN/blob/main/loss.py#L23 https://arxiv.org/pdf/2210.13438 (the github repo doesn&amp;#x27;t include training, just inference) It is INCREDIBLY common to use multi-scale spectral loss as the audio distance / objective measure in audio generation. They have some issues (i.e. they aren&amp;#x27;t always well correlated with human perception) but they are the known-current-best.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.13438/"&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>High Fidelity Neural Audio Compression — mentioned by tough</title><link>https://news.ycombinator.com/item?id=33451520</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.13438:33451520</guid><pubDate>Thu, 03 Nov 2022 14:28:05 GMT</pubDate><description>&lt;p&gt;&amp;gt; I am curious how they achieve this kind of data compression. Probably ML https://arxiv.org/abs/2210.13438&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.13438/"&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>High Fidelity Neural Audio Compression — HN submission</title><link>https://news.ycombinator.com/item?id=33448213</link><guid isPermaLink="false">urn:hackerpapers:submission:2210.13438:33448213</guid><pubDate>Thu, 03 Nov 2022 07:57:04 GMT</pubDate><description>&lt;p&gt;High Fidelity Neural Audio Compression&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2210.13438/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>High Fidelity Neural Audio Compression — mentioned by tough</title><link>https://news.ycombinator.com/item?id=33424667</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.13438:33424667</guid><pubDate>Tue, 01 Nov 2022 17:45:48 GMT</pubDate><description>&lt;p&gt;I think they must be using similar AI / ML stuff to this recent work for audio https://arxiv.org/abs/2210.13438 but for video&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.13438/"&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>High Fidelity Neural Audio Compression — mentioned by telotortium</title><link>https://news.ycombinator.com/item?id=33402142</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.13438:33402142</guid><pubDate>Mon, 31 Oct 2022 04:38:31 GMT</pubDate><description>&lt;p&gt;Impressive results - on CD-quality audio too, not just speech as with many recent codecs. One thing I was not able to find, either in the blog post or the paper (https://arxiv.org/pdf/2210.13438.pdf), was the size of the model. EDIT: I downloaded the model from the code (https://github.com/facebookresearch/encodec/blob/3837f0db2a3...). It looks to have 15M parameters in total (this is a CPU-only model, by the way). For inference, I assume we can get away with 16-bit floats, so this clocks in at about 30 MiB. Not particularly favorable compared with LAME on my system (164 KiB), but not at all…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.13438/"&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>High Fidelity Neural Audio Compression — HN submission</title><link>https://news.ycombinator.com/item?id=33334233</link><guid isPermaLink="false">urn:hackerpapers:submission:2210.13438:33334233</guid><pubDate>Tue, 25 Oct 2022 18:16:26 GMT</pubDate><description>&lt;p&gt;High Fidelity Neural Audio Compression&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2210.13438/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item></channel></rss>
