Audio Dequantization Using (Co)Sparse (Non)Convex Methods
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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.
KeywordsAudio dequantization, Sparsity, Cosparsity, Convex, Nonconvex, Evaluation, Perception
Document typePeer reviewed
SourceProc. International Conference on Acoustics, Speech, and Signal Processing. 2021, vol. 2021, issue 1, p. 701-705.
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