<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AudioGhost AI on SoloSoft</title><link>https://www.solosoft.dev/tags/audioghost-ai/</link><description>Recent content in AudioGhost AI on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/audioghost-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>AudioGhost AI: Open-Source Object-Oriented Audio Separation with Meta's SAM-Audio</title><link>https://www.solosoft.dev/post/audioghost-ai-audio-separation-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/audioghost-ai-audio-separation-2026/</guid><description>&lt;p&gt;For decades, isolating a single instrument from a mixed recording required either expensive multi-track access from the original studio session or painstaking spectral editing by an experienced audio engineer. &lt;strong&gt;AudioGhost AI&lt;/strong&gt; rewrites this workflow by bringing Meta&amp;rsquo;s state-of-the-art SAM-Audio model to the desktop with a straightforward graphical interface, letting anyone separate sounds with nothing more than a text prompt.&lt;/p&gt;
&lt;p&gt;Developed by the open-source contributor 0x0funky, AudioGhost AI is a purpose-built wrapper around Meta AI&amp;rsquo;s SAM-Audio research model. SAM-Audio extends the &amp;ldquo;Segment Anything&amp;rdquo; philosophy — originally developed for image segmentation — into the audio domain. The original SAM model made it possible to click on any pixel in an image and isolate that object; SAM-Audio applies the same principle to sound. Describe the sound source you want (&amp;ldquo;the lead vocal,&amp;rdquo; &amp;ldquo;the snare drum,&amp;rdquo; &amp;ldquo;the acoustic guitar,&amp;rdquo;) and the model isolates it from the rest of the mix with impressive fidelity.&lt;/p&gt;</description></item></channel></rss>