audio-9

Audio declipping

3260 papers • 126 benchmarks • 313 datasets

Audio declipping is the task of estimating the original audio signal given its clipped measurements.

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Most implemented papers

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

P. Rajmic, Pavel Záviška, A. Ozerov, Lucas Rencker•Tue Jul 14 2020

This paper provides an extensive numerical evaluation of popular declipping algorithms proposed in the literature, in terms of the Signal-to-Distortion Ratio, and also using perceptual metrics of sound quality.

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Audio declipping performance enhancement via crossfading

Ondřej Mokrý, P. Rajmic, Pavel Záviška•Tue Apr 06 2021

It is shown that the SS PEW method based on social sparsity combined with the proposed method performs comparable to top methods from the consistent class, but at a computational cost of one order of magnitude lower.

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Audio Declipping with (Weighted) Analysis Social Sparsity

P. Rajmic, Pavel Záviška•Thu May 19 2022

This work develops the analysis (cosparse) variant of the popular audio declipping algorithm and extends both the old and the new variants by the possibility of weighting the time-frequency coefficients, finding the proposed analysis variant incorporating PEW slightly outperforms the synthesis counterpart in terms of an auditorily motivated metric.

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