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cs.SD2026
Quality-Diversity Search in Sound Generation: Investigating Innovation Engines for Audio Exploration
Björn Ãór Jónsson, ÃaÄrı 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…
cs.SD2025
Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
Björn Ãór Jónsson, ÃaÄrı 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…
cs.SD2024
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…