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Audio Dequantization Using (Co)Sparse (Non)Convex Methods (2010.16386v2)

Published 30 Oct 2020 in eess.AS, cs.SD, and eess.SP

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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