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Conference Papers Year : 2011

A Constrained Matching Pursuit Approach to Audio Declipping

Abstract

We present a novel sparse representation based approach for the restoration of clipped audio signals. In the proposed approach, the clipped signal is decomposed into overlapping frames and the declipping problem is formulated as an inverse problem, per audio frame. This problem is further solved by a constrained matching pursuit algorithm, that exploits the sign pattern of the clipped samples and their maximal absolute value. Performance evaluation with a collection of music and speech signals demonstrate superior results compared to existing algorithms, over a wide range of clipping levels.
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Dates and versions

inria-00557021 , version 1 (21-02-2011)

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Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, et al.. A Constrained Matching Pursuit Approach to Audio Declipping. Acoustics, Speech and Signal Processing, IEEE International Conference on (ICASSP 2011), May 2011, Prague, Czech Republic. ⟨10.1109/ICASSP.2011.5946407⟩. ⟨inria-00557021⟩
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