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Audio Dequantization Using (Co)Sparse (Non)Convex Methods

30 October 2020
Pavel Záviška
P. Rajmic
Ondřej Mokrý
    MQ
ArXiv (abs)PDFHTML
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.

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