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Poster Année : 2011

Audio inpainting: problem statement, relation with sparse representations and some experiments

Résumé

We propose a framework called audio inpainting for the general problem of estimating missing samples in audio. It extends the problem of the interpolation and extrapolation of signals to the cases where possibly-large blocks of consecutive samples must be estimated from the remaining, known samples. We relate this framework to a number of applications including declicking, declipping and audio packet loss in voice over IP. By considering audio inpainting as an inverse problem, we show that sparse representations are an appropriate scheme to develop new approaches for the audio inpainting problem. We will present some experiments, with a particular focus on restoration of clipped speech or music signals.
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Dates et versions

inria-00560110 , version 1 (07-12-2011)

Identifiants

  • HAL Id : inria-00560110 , version 1

Citer

Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, et al.. Audio inpainting: problem statement, relation with sparse representations and some experiments. SMALL Workshop on Sparse Dictionary Learning, Jan 2011, London, United Kingdom. 2011. ⟨inria-00560110⟩
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