  We introduce a novel convolutional network architecture with an interpretable
latent space for modeling guitar amplifiers. Leveraging domain knowledge of
popular amplifiers spanning a range of styles, the proposed system intuitively
combines or subtracts characteristics of different amplifiers, allowing
musicians to design entirely new guitar timbres.
