Neural Amp Modeler

Neural Amp Modeler: A Free and Open-Source Tool for Modeling Guitar Amplifiers and Pedals

What is Neural Amp Modeler?

Neural Amp Modeler is a free and open-source technology for modeling guitar amplifiers and pedals using deep learning. This repository handles training, reamping, and exporting the weights of a model. For playing trained models in real-time in an audio workstation, see the Neural Amp Modeler VST3 repository.

Getting Started

To get started with Neural Amp Modeler, you can either use the online training environment provided by Google Colab or install the software on your local computer. Once you have installed Neural Amp Modeler, you can start creating models of your favorite guitar gear. To do this, you will need to record a clean DI signal of your guitar playing through the amp or pedal that you want to model. You can then use this DI signal to train a neural network model that will learn to emulate the sound of your amp or pedal.

Using Neural Amp Modeler

Once you have trained a model, you can use it to play guitar in real-time through your DAW. To do this, you will need to load the model into the Neural Amp Modeler VST3 plugin. You can then use the plugin to adjust the parameters of the model, such as the gain, EQ, and reverb. You can also use the plugin to create presets of your favorite amp and pedal combinations.

Conclusion

Neural Amp Modeler is a powerful and versatile tool for modeling guitar amplifiers and pedals. It is free and open-source, making it accessible to anyone who wants to experiment with amp modeling. With Neural Amp Modeler, you can create realistic and accurate models of your favorite gear, and use them to play guitar in real-time through your DAW.