collaborators

11 papers

eess.AS2026

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…

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…

cs.SD2026

Automatic Audio Equalization with Semantic Embeddings

Eloi Moliner, Vesa Välimäki, Konstantinos Drossos +1

This paper presents a data-driven approach to automatic blind equalization of audio by predicting log-mel spectral features and deriving an inverse filter. The method uses a deep n…

eess.AS2025

Automatic Music Mixing using a Generative Model of Effect Embeddings

Eloi Moliner, Marco A. Martínez-Ramírez, 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…

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…

eess.AS2025

An Octave-based Multi-Resolution CQT Architecture for Diffusion-based Audio Generation

Maurício 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…