activity
20122021
most citedNearfield Acoustic Holography using sparsity and compressive sampling principles

179 citations · 192 across the 8 of their papers we have counts for

collaborators

9 papers

eess.AS2021★ 4 cited

dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing

Diego Di Carlo, Pinchas Tandeitnik, Cédric Foy +3

This paper presents dEchorate: a new database of measured multichannel Room Impulse Responses (RIRs) including annotations of early echo timings and 3D positions of microphones, re…

cs.SD2021★ 3 cited

Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation

Axel Marmoret, Jérémy E. Cohen, Nancy Bertin +1

Recent work has proposed the use of tensor decomposition to model repetitions and to separate tracks in loop-based electronic music. The present work investigates further on the ab…

cs.SD2020

Sparsity-based audio declipping methods: selected overview, new algorithms, and large-scale evaluation

Clément Gaultier, Srđan Kitić, Rémi Gribonval +1

Recent advances in audio declipping have substantially improved the state of the art.% in certain saturation regimes. Yet, practitioners need guidelines to choose a method, and whi…

eess.AS2019★ 1 cited

Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoes

Diego Di Carlo, Antoine Deleforge, Nancy Bertin

It is commonly observed that acoustic echoes hurt performance of sound source localization (SSL) methods. We introduce the concept of microphone array augmentation with echoes (MIR…

cs.SD2018★ 3 cited

Evaluation of an open-source implementation of the SRP-PHAT algorithm within the 2018 LOCATA challenge

Romain Lebarbenchon, Ewen Camberlein, Diego di Carlo +3

This short paper presents an efficient, flexible implementation of the SRP-PHAT multichannel sound source localization method. The method is evaluated on the single-source tasks of…

cs.SD2017★ 2 cited

A modeling and algorithmic framework for (non)social (co)sparse audio restoration

Clément Gaultier, Nancy Bertin, Srđan Kitić +1

We propose a unified modeling and algorithmic framework for audio restoration problem. It encompasses analysis sparse priors as well as more classical synthesis sparse priors, and…