A Proper version of Synthesis-based Sparse Audio Declipper

TL;DR

This paper introduces an improved version of the S-SPADE algorithm for audio declipping, which achieves better restoration quality and faster processing, making it competitive with the state-of-the-art A-SPADE method.

Contribution

The paper presents a new, proper version of S-SPADE that enhances restoration quality and speed, addressing previous limitations of the original S-SPADE algorithm.

Findings

The new S-SPADE outperforms the old version in restoration quality.

The new S-SPADE is slightly faster than A-SPADE.

The proposed method is comparable to state-of-the-art declipping algorithms.

Abstract

Methods based on sparse representation have found great use in the recovery of audio signals degraded by clipping. The state of the art in declipping has been achieved by the SPADE algorithm by Kiti\'c et. al. (LVA/ICA2015). Our recent study (LVA/ICA2018) has shown that although the original S-SPADE can be improved such that it converges significantly faster than the A-SPADE, the restoration quality is significantly worse. In the present paper, we propose a new version of S-SPADE. Experiments show that the novel version of S-SPADE outperforms its old version in terms of restoration quality, and that it is comparable with the A-SPADE while being even slightly faster than A-SPADE.