<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Voice Conversion on SoloSoft</title><link>https://www.solosoft.dev/tags/voice-conversion/</link><description>Recent content in Voice Conversion on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/voice-conversion/index.xml" rel="self" type="application/rss+xml"/><item><title>RVC WebUI: Open-Source Real-Time Voice Conversion with VITS</title><link>https://www.solosoft.dev/post/rvc-voice-conversion-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/rvc-voice-conversion-2026/</guid><description>&lt;p&gt;RVC (Retrieval-based Voice Conversion) WebUI is an open-source voice conversion framework developed by the &lt;a href="https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI"&gt;RVC-Project&lt;/a&gt; team that has become the standard tool for AI voice conversion in both spoken and singing contexts. Built on the VITS (Variational Inference Text-to-Speech) architecture, RVC achieves high-quality voice conversion with remarkably little training data &amp;ndash; just 10 minutes of audio is sufficient for a convincing voice model.&lt;/p&gt;
&lt;p&gt;The project distinguishes itself from traditional voice conversion approaches through its retrieval-based mechanism. Instead of requiring paired data (same content spoken in different voices), RVC uses a feature retrieval approach that extracts and transfers speaker characteristics while preserving the linguistic content of the source audio. This makes it particularly powerful for singing voice conversion, where preserving pitch, rhythm, and emotional expression is critical.&lt;/p&gt;</description></item></channel></rss>