Open-Ended Evolutionary Synthesis: Integrating Quality Diversity and Unsupervised Dimensionality Reduction within a Coupled CPPN-DSP Framework for Autonomous Sonic Discovery

For decades, musicians have used synthesizers to either imitate real instruments or twist knobs until they found something they liked. But what if sounds could grow, evolve, and branch off Continue Reading

Optical Dynamic Range Compression Emulation with Selective State Space Models

This work presents a method for modeling optical dynamic range compressors using deep neural networks combined with selective state space models. The approach surpasses previous methods that relied on recurrent Continue Reading