Audio Dequantization Using (Co)Sparse (Non)Convex Methods
Audio and Speech Processing
2022-06-28 v2 Sound
Signal Processing
Abstract
The paper deals with the hitherto neglected topic of audio dequantization. It reviews the state-of-the-art sparsity-based approaches and proposes several new methods. Convex as well as non-convex approaches are included, and all the presented formulations come in both the synthesis and analysis variants. In the experiments the methods are evaluated using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric.
Cite
@article{arxiv.2010.16386,
title = {Audio Dequantization Using (Co)Sparse (Non)Convex Methods},
author = {Pavel Záviška and Pavel Rajmic and Ondřej Mokrý},
journal= {arXiv preprint arXiv:2010.16386},
year = {2022}
}