Natural Amp Modeller (NAM)


The Natural Amp Modeller (NAM) is a technology that simulates the sound and behavior of analog guitar amplifiers and speaker cabinets.
It is free and Open Source and uses Artificial Intelligence (AI/#AI) in a Naural Network to capture the Amp Profiles.

The NAM works by analyzing the sound characteristics of different amplifier models and speaker cabinets, and then replicating those sounds using digital processing. By using sophisticated algorithms and signal processing techniques, the NAM is able to accurately simulate the tonal characteristics, dynamics, and harmonic distortion of analog guitar amplifiers.

One of the benefits of the NAM is that it allows guitarists to experiment with a wide range of different amplifier and cabinet models, without the need for physical equipment. This makes it easier for guitarists to explore new sounds and tones, and to find the right tone for their music.

In addition to simulating traditional guitar amplifiers, the NAM can also be used to create unique and experimental sounds that are not possible with traditional analog gear. This makes the NAM a popular tool for guitarists who are looking to push the boundaries of their sound and explore new sonic territories.

Overall, the NAM is a powerful tool that allows guitarists to access a wide range of different amplifier and cabinet sounds, as well as to experiment with new and unique sounds. Whether you're a beginner or a professional, the NAM is a valuable tool that can help you achieve the perfect guitar tone for your music.

https://neuralampmodeler.com/

On Github:

GitHub - sdatkinson/NeuralAmpModelerPlugin: Plugin for Neural Amp Modeler
Plugin for Neural Amp Modeler. Contribute to sdatkinson/NeuralAmpModelerPlugin development by creating an account on GitHub.