dc.contributor.author | Diaz Fernandez, R | |
dc.contributor.author | Saitis, C | |
dc.contributor.author | Sandler, M | |
dc.contributor.author | International Conference on New Interfaces for Musical Expression | |
dc.date.accessioned | 2024-07-04T11:37:12Z | |
dc.date.available | 2024-07-04T11:37:12Z | |
dc.date.issued | 2023-05-31 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/97841 | |
dc.description.abstract | 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. | en_US |
dc.publisher | International Conference on New Interfaces for Musical Expression | en_US |
dc.title | Interactive Neural Resonators | en_US |
dc.type | Conference Proceeding | en_US |
dc.rights.holder | © 2024, The Author(s) | |
dc.identifier.doi | 10.5281/zenodo.11189296 | |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | UKRI Centre for Doctoral Training in Artificial Intelligence and Music::Engineering and Physical Sciences Research Council | en_US |