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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.07889/</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/2106.07889/feed.xml" rel="self" type="application/rss+xml" /><item><title>UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation — mentioned by rhdunn</title><link>https://news.ycombinator.com/item?id=46644970</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.07889:46644970</guid><pubDate>Fri, 16 Jan 2026 10:21:13 GMT</pubDate><description>&lt;p&gt;Using neural nets (machine learning) to train TTS voices has been around a long time. [1] (2016 https://arxiv.org/abs/1609.03499) WaveNet: A Generative Model for Raw Audio [2] (2017 https://arxiv.org/abs/1711.10433) Parallel WaveNet: Fast High-Fidelity Speech Synthesis [3] (2021 https://arxiv.org/abs/2106.07889) UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation [4] (2022 https://arxiv.org/abs/2203.14941) Neural Vocoder is All You Need for Speech Super-resolution&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.07889/"&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>
