  In this work, we propose a method for the controllable synthesis of real-time
contact sounds using neural resonators. Previous works have used physically
inspired statistical methods and physical modelling for object materials and
excitation signals. Our method incorporates differentiable second-order
resonators and estimates their coefficients using a neural network that is
conditioned on physical parameters. This allows for interactive dynamic control
and the generation of novel sounds in an intuitive manner. We demonstrate the
practical implementation of our method and explore its potential creative
applications.
