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ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O.
Original Title
Audio Dequantization Using (Co)Sparse (Non)Convex Methods
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
Audio dequantization;Sparsity;Cosparsity;Convex;Nonconvex;Evaluation;Perception
Key words in English
Authors
RIV year
2021
Released
13.05.2021
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
Volume
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" }
Documents
2020_ICASSP_dequant9414637_accepted