Chameleon is a guitar plugin and standalone application that harnesses neural networks to emulate the distinctive tones of a vintage-style amplifier head. Its core sound engine uses advanced machine learning techniques to replicate the dynamic response and tonal characteristics of a high-end tube amplifier, delivering three unique amp voices labeled Red, Gold, and Green. These tones range from high gain and crunchy to clean, providing guitarists with a broad sonic palette to explore.

Designed to integrate seamlessly into any guitar signal chain, Chameleon works effectively alongside impulse responses for cabinet simulation, reverbs, and various guitar effects. This approach mirrors the setup of a traditional amp head used with external cabinets and pedals, offering musicians flexibility and control over their sound. The plugin’s ability to reproduce the nuanced behavior of real amplifiers and pedals makes it a powerful tool for both recording and live performance.

Chameleon is available as a free and open-source project, inviting audio enthusiasts and developers interested in digital signal processing and machine learning to explore its inner workings. The latest version enhances the experience with stereo processing, improved amplifier and EQ sounds, and better compatibility with digital audio workstations through fixed state saving. This ongoing development ensures Chameleon remains a cutting-edge solution for guitar tone modeling.