ICASSP 2021accepted0 citations
Audio Dequantization Using (Co)Sparse (Non)Convex Methods
Pavel Záviska, Pavel Rajmic, Ondrej Mokrý
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.
BibTeX
@inproceedings{icassp2021_audiodequantizat,
title = {Audio Dequantization Using (Co)Sparse (Non)Convex Methods},
author = {Pavel Záviska and Pavel Rajmic and Ondrej Mokrý},
booktitle = {ICASSP 2021},
year = {2021}
}