  Some audio declipping methods produce waveforms that do not fully respect the
physical process of clipping, which is why we refer to them as inconsistent.
This letter reports what effect on perception it has if the solution by
inconsistent methods is forced consistent by postprocessing. We first propose a
simple sample replacement method, then we identify its main weaknesses and
propose an improved variant. The experiments show that the vast majority of
inconsistent declipping methods significantly benefit from the proposed
approach in terms of objective perceptual metrics. In particular, we show 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.
