Yansen Jing

DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning

Synthesizer inversion is challenging for two main reasons: 1) Distinct parameter configurations can produce perceptually similar sounds. 2) Parameter-space losses often fail to reflect rendered audio similarity, while the synthesizer being a non-differentiable black box prevents simple audio-domain supervision. To addr...