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 …

A novel sparsity-based algorithm for audio inpainting is proposed. It is an adaptation of the
SPADE algorithm by Kitić et al., originally developed for audio declipping, to the task of …

Audio signals such as music are known to exhibit distinct and sparse time-frequency
patterns. In particular, the short-time Fourier/Gabor transform is widely used for sparsely …

The state of the art in audio declipping has currently been achieved by SPADE (SParse
Audio DEclipper) algorithm by Kitić et al. Until now, the synthesis/sparse variant, S-SPADE …

In convex optimization, it is often inevitable to work with projectors onto convex sets
composed with a linear operator. Such a need arises from both the theory and applications …

Damage to audio signals is in practice common, yet undesirable. Information loss can occur
due to improper recording (low sample rate or dynamic range), transmission error (sample …

The paper focuses on inpainting missing parts of an audio signal spectrogram. First, a recent
successful approach based on an untrained neural network is revised and its several …

This thesis proposes a novel hybrid audio inpainting approach that takes into account the
diversity of signals and increases the quality of the reconstruction. Audio inpainting aims at …

In theory and applications, it is often inevitable to work with projectors onto convex sets,
where a linear transform is involved. In this article, a novel projector is presented, which …