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

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"
}