GuitarML: Chameleon

GuitarML founder, Keith Bloemer, is an aerospace engineer and guitar player. What started as a passion project has grown into a community of developers and musicians that contribute time and brainpower to make a great product. GuitarML uses machine learning and related technologies to create high-quality guitar tones. Advances in deep learning (artificial intelligence) have made it possible to play near-perfect tonal matches of real amps and pedals through a plugin. While there are many guitar plugins out there, GuitarML’s plugins are unique in that they use advanced machine learning to model the dynamic response of real amps and pedals. GuitarML is working to make this technology easy and accessible to musicians, developers, and AI researchers.
Chameleon is a guitar plugin using neural networks to create three distinct sounds from a vintage style amp head. EQ and gain were added to allow further modification of the three core sounds, named Red (high gain), Gold (crunchy), and Green (crisp and clean). In the same way a real amp head is used with a cabinet and other effects, this plugin is intended to be used in the signal chain along with IR’s (cab sim), reverb, and any number of guitar effects.
Chameleon’s core sound comes from a neural net inference engine which allows the plugin to disguise itself as a high end tube amplifier. The engine uses a stateful LSTM model, which improves the sound quality of the previous stateless LSTM used in the SmartAmpPro. It also improves CPU usage compared to the SmartAmpPro and SmartGuitarAmp.
Available formats (from installer):

Windows 10/11 64-bit (VST3, AAX)
Mac 10.11 and up (AU, VST3, AAX)
Linux (VST3, AAX)











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