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

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Date
2021-05-13
Author
Záviška, Pavel
Rajmic, Pavel
Mokrý, Ondřej
Altmetrics
10.1109/ICASSP39728.2021.9414637
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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.
Keywords
Audio dequantization, Sparsity, Cosparsity, Convex, Nonconvex, Evaluation, Perception
Persistent identifier
http://hdl.handle.net/11012/203006
Document type
Peer reviewed
Document version
Postprint
Source
Proc. International Conference on Acoustics, Speech, and Signal Processing. 2021, vol. 2021, issue 1, p. 701-705.
https://ieeexplore.ieee.org/document/9414637
DOI
10.1109/ICASSP39728.2021.9414637
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