3 citations · 7 across the 6 of their papers we have counts for
6 papers
nlm: Real-Time Non-linear Modal Synthesis in Max
Rodrigo Diaz, Rodrigo Constanzo, Mark Sandler
We present nlm, a set of Max externals that enable efficient real-time non-linear modal synthesis for strings, membranes, and plates. The externals, implemented in C++, offer inter…
Fast Differentiable Modal Simulation of Non-linear Strings, Membranes, and Plates
Rodrigo Diaz, Mark Sandler
Modal methods for simulating vibrations of strings, membranes, and plates are widely used in acoustics and physically informed audio synthesis. However, traditional implementations…
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods
Rodrigo Diaz, Carlos De La Vega Martin, Mark Sandler
This paper presents an examination of State Space Models (SSM) and Koopman-based deep learning methods for modelling the dynamics of both linear and non-linear stiff strings. Throu…
Pipeline for recording datasets and running neural networks on the Bela embedded hardware platform
Teresa Pelinski, Rodrigo Diaz, Adán L. Benito Temprano +1
Deploying deep learning models on embedded devices is an arduous task: oftentimes, there exist no platform-specific instructions, and compilation times can be considerably large du…
Interactive Neural Resonators
Rodrigo Diaz, Charalampos Saitis, Mark Sandler
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 metho…
Rigid-Body Sound Synthesis with Differentiable Modal Resonators
Rodrigo Diaz, Ben Hayes, Charalampos Saitis +2
Physical models of rigid bodies are used for sound synthesis in applications from virtual environments to music production. Traditional methods such as modal synthesis often rely o…