9 citations · 13 across the 17 of their papers we have counts for
3 papers · 1 filter
Quality-Diversity Search in Sound Generation: Investigating Innovation Engines for Audio Exploration
Björn Þór Jónsson, Çağrı Erdem, Stefano Fasciani +1
This study addresses the challenges composers and sound designers face in creating and refining tools to achieve their musical goals. Using evolutionary processes to promote divers…
Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
Björn Þór Jónsson, Çağrı Erdem, Stefano Fasciani +1
Digital sound synthesis presents the opportunity to explore vast parameter spaces containing millions of configurations. Quality diversity (QD) evolutionary algorithms offer a prom…
LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search
Jinyue Guo, Anna-Maria Christodoulou, Balint Laczko +1
Evolutionary Algorithms and Generative Deep Learning have been two of the most powerful tools for sound generation tasks. However, they have limitations: Evolutionary Algorithms re…