activity
20182026
most citedOptimizing tiny colorless feedback delay networks

5 citations · 19 across the 23 of their papers we have counts for

collaborators
Showing 2024Show all

9 papers · 1 filter

eess.AS2024

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…

eess.AS2024★ 1 cited

Similarity Metrics For Late Reverberation

Gloria Dal Santo, Karolina Prawda, Sebastian J. Schlecht +1

Automatic tuning of reverberation algorithms relies on the optimization of a cost function. While general audio similarity metrics are useful, they are not optimized for the specif…

eess.AS2024

Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models

Jean-Marie Lemercier, Eloi Moliner, Simon Welker +2

This paper presents an unsupervised method for single-channel blind dereverberation and room impulse response (RIR) estimation, called BUDDy. The algorithm is rooted in Bayesian po…

eess.AS2024★ 1 cited

Fade-in Reverberation in Multi-room Environments Using the Common-Slope Model

Kyung Yun Lee, Nils Meyer-Kahlen, Georg Götz +3

In multi-room environments, modelling the sound propagation is complex due to the coupling of rooms and diverse source-receiver positions. A common scenario is when the source and…

eess.AS2024★ 1 cited

Sample Rate Independent Recurrent Neural Networks for Audio Effects Processing

Alistair Carson, Alec Wright, Jatin Chowdhury +2

In recent years, machine learning approaches to modelling guitar amplifiers and effects pedals have been widely investigated and have become standard practice in some consumer prod…

eess.AS2024

BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models

Eloi Moliner, Jean-Marie Lemercier, Simon Welker +2

In this paper, we present an unsupervised single-channel method for joint blind dereverberation and room impulse response estimation, based on posterior sampling with diffusion mod…

eess.AS2024

Non-Exponential Reverberation Modeling Using Dark Velvet Noise

Jon Fagerström, Sebastian J. Schlecht, Vesa Välimäki

Previous research on late-reverberation modeling has mainly focused on exponentially decaying room impulse responses, whereas methods for accurately modeling non-exponential reverb…

eess.AS2024★ 5 cited

Optimizing tiny colorless feedback delay networks

Gloria Dal Santo, Karolina Prawda, Sebastian J. Schlecht +1

A common bane of artificial reverberation algorithms is spectral coloration in the synthesized sound, typically manifesting as metallic ringing, leading to a degradation in the per…

eess.AS2024★ 1 cited

Diffusion Models for Audio Restoration

Jean-Marie Lemercier, Julius Richter, Simon Welker +3

With the development of audio playback devices and fast data transmission, the demand for high sound quality is rising for both entertainment and communications. In this quest for…