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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.11160/</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/2310.11160/feed.xml" rel="self" type="application/rss+xml" /><item><title>Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion — mentioned by wuzhizheng</title><link>https://news.ycombinator.com/item?id=38456036</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.11160:38456036</guid><pubDate>Wed, 29 Nov 2023 05:55:01 GMT</pubDate><description>&lt;p&gt;Accepted by NeurIPS 2023 workshop on Machine Learning for Audio Paper: https://arxiv.org/abs/2310.11160 Code: https://github.com/open-mmlab/Amphion/tree/main/egs/svc Demo: https://www.zhangxueyao.com/data/MultipleContentsSVC&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.11160/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SD</category></item></channel></rss>
