9 citations · 9 across the 6 of their papers we have counts for
6 papers
Music Restoration via Latent Operator Optimization and Diffusion Model Priors
Michal Švento, 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 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…
Differentiable Grouped Feedback Delay Networks for Learning Coupled Volume Acoustics
Orchisama Das, Gloria Dal Santo, Sebastian J. Schlecht +2
Rendering dynamic reverberation in a complicated acoustic space for moving sources and listeners is challenging but crucial for enhancing user immersion in extended-reality (XR) ap…
FLAMO: An Open-Source Library for Frequency-Domain Differentiable Audio Processing
Gloria Dal Santo, Gian Marco De Bortoli, Karolina Prawda +2
We present FLAMO, a Frequency-sampling Library for Audio-Module Optimization designed to implement and optimize differentiable linear time-invariant audio systems. The library is o…
A Diffusion-Based Generative Equalizer for Music Restoration
Eloi Moliner, Maija Turunen, Filip Elvander +1
This paper presents a novel approach to audio restoration, focusing on the enhancement of low-quality music recordings, and in particular historical ones. Building upon a previous…
Diffusion-Based Audio Inpainting
Eloi Moliner, Vesa Välimäki
Audio inpainting aims to reconstruct missing segments in corrupted recordings. Most of existing methods produce plausible reconstructions when the gap lengths are short, but strugg…