We present a method of audio interpolation suitable for the restoration of missing and/or
corrupted audio samples. Our method assumes that the missing/corrupted samples can be …

The objective of audio inpainting is to fill a gap in a signal, either to be meaningful or even to
reconstruct the original signal. We propose a novel approach applying sparse modeling in …

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 …

The objective of audio inpainting is to fill a gap in an audio signal. This is ideally done by
reconstructing the original signal or, at least, by inferring a meaningful surrogate signal. We …

We present a simple algorithm which accelerates the sparsity-based audio inpainting. The
algorithm optimally restricts the signal support around the missing data region. This way …

We present a new framework for the restoration of missing samples in audio signals. It
consists in locating audio frames that share similar sparse structures and in applying a joint …

Inpainting techniques are becoming increasingly important for lossy image compression. In
this paper, we investigate if successful ideas from inpainting-based codecs for images can …

In this article, we deal with the problem of sparsity-based audio inpainting, ie filling in the
missing segments of audio. A consequence of the approaches based on mathematical …

Audio inpainting, ie, the task of restoring missing or occluded audio signal samples, usually
relies on sparse representations or autoregressive modeling. In this paper, we propose to …

This research presents a novel hybrid audio inpainting approach that considers the diversity
of signals and enhances the reconstruction quality. Existing inpainting approaches have …