14 papers · 1 filter
Ambisonics Encoding of Room Impulse Responses using a Device-Agnostic Diffusion Model
Eloi Moliner, Christoph Hold, Juan Azcarreta Ortiz +5
We address the problem of encoding room impulse responses (RIRs) into high-order Ambisonics (HOA) representations from arbitrary and potentially insufficient or incomplete micropho…
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…
Automatic Music Mixing using a Generative Model of Effect Embeddings
Eloi Moliner, Marco A. MartÃnez-RamÃrez, Junghyun Koo +5
Music mixing involves combining individual tracks into a cohesive mixture, a task characterized by subjectivity where multiple valid solutions exist for the same input. Existing au…
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…
An Octave-based Multi-Resolution CQT Architecture for Diffusion-based Audio Generation
MaurÃcio do V. M. da Costa, Eloi Moliner
This paper introduces MR-CQTdiff, a novel neural-network architecture for diffusion-based audio generation that leverages a multi-resolution Constant- Transform (CT). The pro…
Similarity-Guided Diffusion for Long-Gap Music Inpainting
Sean Turland, Eloi Moliner, Vesa Välimäki
Music inpainting aims to reconstruct missing segments of a corrupted recording. While diffusion-based generative models improve reconstruction for medium-length gaps, they often st…