Guitar plugin made with JUCE that uses neural network models to emulate real world hardware.
See video demo on YouTube
This plugin uses a WaveNet model to recreate the sound of real world hardware. The current version models a small tube amp at clean and overdriven settings. Gain and EQ knobs were added to modulate the modeled sound.
github.com/GuitarML/SmartGuitarAmp
Audio visualization usually relies on hand-crafted features, like intensity, timbre or pitch. These metrics are defined by humans and are biased towards our cultural representation of sound. In this project, we have trained a Neural Net to generate these features directly from spectrograms, in an unsupervised way. We thus get rid of this bias and hope the resulting visualizations can help us perceive music in different ways.
https://br-g.github.io/Deep-Audio-Visualization/web-app/
The Audio File 