3 citations · 5 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
VAST : The Virtual Acoustic Space Traveler Dataset
Clément Gaultier, Saurabh Kataria, Antoine Deleforge
This paper introduces a new paradigm for sound source lo-calization referred to as virtual acoustic space traveling (VAST) and presents a first dataset designed for this purpose. E…
Hearing in a shoe-box : binaural source position and wall absorption estimation using virtually supervised learning
Saurabh Kataria, Clément Gaultier, Antoine Deleforge
This paper introduces a new framework for supervised sound source localization referred to as virtually-supervised learning. An acoustic shoe-box room simulator is used to generate…