<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPT-SoVITS on SoloSoft</title><link>https://www.solosoft.dev/tags/gpt-sovits/</link><description>Recent content in GPT-SoVITS 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/gpt-sovits/index.xml" rel="self" type="application/rss+xml"/><item><title>GPT-SoVITS: Few-Shot Voice Cloning with Just 1 Minute of Voice Data</title><link>https://www.solosoft.dev/post/gpt-sovits-voice-cloning-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/gpt-sovits-voice-cloning-2026/</guid><description>&lt;p&gt;GPT-SoVITS is an open-source voice cloning and text-to-speech system developed by &lt;a href="https://github.com/RVC-Boss/GPT-SoVITS"&gt;RVC-Boss&lt;/a&gt; that has taken the AI audio community by storm. The project&amp;rsquo;s standout capability is few-shot voice cloning requiring just 1 minute of voice data to train a convincing voice model, with zero-shot capabilities using as little as 5-10 seconds of reference audio. Supporting Chinese, English, Japanese, and Korean, GPT-SoVITS combines the power of GPT-based autoregressive modeling with the spectral fidelity of SoVITS (Singing Voice Synthesis with Iterative refinement using a Transformer-based Sinkhorn).&lt;/p&gt;
&lt;p&gt;The project has amassed significant GitHub popularity by making professional-grade voice cloning accessible to anyone with a consumer GPU. Unlike commercial voice cloning services that charge per minute or require cloud uploads, GPT-SoVITS runs entirely locally, protecting user privacy and enabling unlimited usage. The quality has improved dramatically through iterative versions, with recent releases approaching studio-grade fidelity for trained voices.&lt;/p&gt;</description></item></channel></rss>