NeuralPi | Raspberry Pi guitar pedal using neural networks to emulate

NeuralPi is a C++ library typically used in Internet of Things (IoT), Raspberry Pi applications. NeuralPi has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

NeuralPi is a guitar pedal using neural networks to emulate real amps and pedals on a Raspberry Pi 4. The NeuralPi software is a VST3 plugin built with JUCE, which can be run as a normal audio plugin or cross-compiled to run on the Raspberry Pi 4 with Elk Audio OS. The NeuralPi includes model selection, EQ, and gain/volume controls from a remote instance of the plugin over WiFi. The pedal runs high quality amp/pedal models on an economical DIY setup, costing around $120 for hardware to build yourself. Check out a video demo on YouTube Check out the step by step build guide published on Towards Data Science. NeuralPi can sound like an amplifier or distortion/overdrive pedal using the power of neural networks. Models trained from recordings of real amps and pedals can be loaded into the plugin for endless possiblities on your guitar. Create your own models or use custom tones from GuitarML. WARNING: The audio output of the HiFiBerry DAC + ADC is at line level. Guitar amplifiers expect a low level electric guitar signal (instrument level). Use NeuralPi only where line level inputs are expected.