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Audio Dequantization Using Sparse Convex Methods

2020-10-30 17:30:17
Pavel Záviška, Pavel Rajmic, Ondřej Mokrý
arXiv_SD
         
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. The experiments evaluate the methods using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric. The analysis variants of convex approaches turn out to give the best results.

Abstract (translated)

URL

https://arxiv.org/abs/2010.16386

PDF

https://arxiv.org/pdf/2010.16386.pdf

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