Latent Space Oddity: Exploring Latent Spaces to Design Guitar Timbres
Sound
2020-11-23 v2 Machine Learning
Audio and Speech Processing
Abstract
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.
Cite
@article{arxiv.2010.15989,
title = {Latent Space Oddity: Exploring Latent Spaces to Design Guitar Timbres},
author = {Jason Taylor},
journal= {arXiv preprint arXiv:2010.15989},
year = {2020}
}
Comments
3 pages, 1 figure. To appear in the 2020 NeurIps Workshop on Machine Learning for Creativity and Design