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ZÁVIŠKA, P. RAJMIC, P. MOKRÝ, O.
Original Title
Audio Dequantization Using (Co)Sparse (Non)Convex Methods
Type
conference paper
Language
English
Original 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
Authors
ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O.
Released
13. 5. 2021
Publisher
IEEE
Location
Toronto, Canada
ISBN
978-1-7281-7605-5
Book
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
1520-6149
Periodical
Proc. International Conference on Acoustics, Speech, and Signal Processing
Year of study
2021
Number
1
State
United States of America
Pages from
701
Pages to
705
Pages count
5
URL
https://ieeexplore.ieee.org/document/9414637
Full text in the Digital Library
http://hdl.handle.net/11012/203006
BibTex
@inproceedings{BUT171056, author="Pavel {Záviška} and Pavel {Rajmic} and Ondřej {Mokrý}", title="Audio Dequantization Using (Co)Sparse (Non)Convex Methods", booktitle="2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", year="2021", journal="Proc. International Conference on Acoustics, Speech, and Signal Processing", volume="2021", number="1", pages="701--705", publisher="IEEE", address="Toronto, Canada", doi="10.1109/ICASSP39728.2021.9414637", isbn="978-1-7281-7605-5", issn="1520-6149", url="https://ieeexplore.ieee.org/document/9414637" }