Publication detail

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

ZÁVIŠKA, P. RAJMIC, P. OZEROV, A. RENCKER, L.

Original Title

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

Type

journal article in Web of Science

Language

English

Original Abstract

Dynamic range limitations in signal processing often lead to clipping, or saturation, in signals. Audio declipping is the task of estimating the original audio signal given its clipped measurements and has attracted a lot of interest in recent years. Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, as well as the measurement system. In this paper, we provide an extensive review of audio declipping algorithms proposed in the literature. For each algorithm, we present the assumptions being made about the audio signal, the modeling domain, as well as the optimization algorithm. Furthermore, we provide an extensive numerical evaluation of popular declipping algorithms, on real audio data. We evaluate each algorithm in terms of the Signal-to-Distortion Ratio, as well as using perceptual metrics of sound quality. The article is accompanied with the repository containing the evaluated methods.

Keywords

audio clipping; saturation; declipping; model; sparsity; learning; optimization; evaluation; survey

Authors

ZÁVIŠKA, P.; RAJMIC, P.; OZEROV, A.; RENCKER, L.

Released

4. 12. 2020

Publisher

IEEE

ISBN

1941-0484

Periodical

IEEE Journal of Selected Topics in Signal Processing

Year of study

15

Number

1

State

United States of America

Pages from

5

Pages to

24

Pages count

20

URL

https://ieeexplore.ieee.org/document/9281027

BibTex

@article{BUT166152,
  author="Pavel {Záviška} and Pavel {Rajmic} and Alexey {Ozerov} and Lucas {Rencker}",
  title="A Survey and an Extensive Evaluation of Popular Audio Declipping Methods",
  journal="IEEE Journal of Selected Topics in Signal Processing",
  year="2020",
  volume="15",
  number="1",
  pages="5--24",
  doi="10.1109/JSTSP.2020.3042071",
  issn="1941-0484",
  url="https://ieeexplore.ieee.org/document/9281027"
}