arXiv · 2003.03160
A Neural Network Based Framework for Archetypical Sound Synthesis
Abstract
This paper describes a preliminary approach to algorithmically reproduce the archetypical structure adopted by humans to classify sounds. In particular, we propose an approach to predict the human perceived chaos/order level in a sound and synthesize new timbres that present the desired amount of this feature. We adopted a Neural Network based method, in order to exploit its inner predisposition to model perceptive and abstract features. We finally discuss the obtained accuracy and possible implications in creative contexts.
Explore related subjects
Keep this discovery
Eric Guizzo, Alberto Novello. 2020-03-06. A Neural Network Based Framework for Archetypical Sound Synthesis. https://arxiv.org/abs/2003.03160
Cite the original work for its findings. Save a collection to share your selection of sources.