3 papers
eess.AS2026
Music Restoration via Latent Operator Optimization and Diffusion Model Priors
Michal Å vento, Eloi Moliner, Valtteri Kallinen +3
Music restoration seeks to recover a clean signal from an observed recording degraded by an unknown effect, distortion, or corruption. Existing systems often rely on paired trainin…
eess.AS2025
Regularized autoregressive modeling and its application to audio signal reconstruction
OndÅej Mokrý, Pavel Rajmic
Autoregressive (AR) modeling is invaluable in signal processing, in particular in speech and audio fields. Attempts in the literature can be found that regularize or constrain eith…
eess.AS2025
Unsupervised Estimation of Nonlinear Audio Effects: Comparing Diffusion-Based and Adversarial approaches
Eloi Moliner, Michal Å vento, Alec Wright +3
Accurately estimating nonlinear audio effects without access to paired input-output signals remains a challenging problem. This work studies unsupervised probabilistic approaches f…