Combining two of the interests of this blog—analog synthesizers and machine learning—Uzrad et al DiffMoog: a Differentiable Modular Synthesizer for Sound Matching is a differentiable model of all the parts in a typical analog synthesizer. Because it is differentiable, it can be incorporated into a neural network allowing for automatic sound matching/replicating an audio input. Code on Github. Via Christian Steinmetz figures 3 and 4 from the paper