8 papers · 1 filter
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…
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…
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…
Unsupervised Estimation of Nonlinear Audio Effects: Comparing Diffusion-Based and Adversarial approaches
Eloi Moliner, Michal Švento, 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…
Estimation and Restoration of Unknown Nonlinear Distortion using Diffusion
Michal Švento, Eloi Moliner, Lauri Juvela +2
The restoration of nonlinearly distorted audio signals, alongside the identification of the applied memoryless nonlinear operation, is studied. The paper focuses on the difficult b…
HRTF Estimation using a Score-based Prior
Etienne Thuillier, Jean-Marie Lemercier, Eloi Moliner +2
We present a head-related transfer function (HRTF) estimation method which relies on a data-driven prior given by a score-based diffusion model. The HRTF is estimated in reverberan…