Publication detail
Audio Dequantization Using (Co)Sparse (Non)Convex Methods
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)
ISBN
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
Full text in the Digital Library
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"
}