3 citations · 6 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Sparsity and cosparsity for audio declipping: a flexible non-convex approach
Srđan Kitić, Nancy Bertin, Rémi Gribonval
This work investigates the empirical performance of the sparse synthesis versus sparse analysis regularization for the ill-posed inverse problem of audio declipping. We develop a v…