Publication detail

Inconsistent Audio Declipping Performance Enhancement Based on Audio Inpainting

MOKRÝ, O. ZÁVIŠKA, P.

Original Title

Inconsistent Audio Declipping Performance Enhancement Based on Audio Inpainting

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Some of the state-of-the-art audio declipping methods are not consistent with the observed signal, meaning that they do not keep the a priori undegraded (reliable) samples. These samples can be directly substituted in the reconstructed signals, but this may create audible artifacts due to the sharp transitions between the declipped and the substituted parts. We propose two methods based on audio inpainting, which deal with these transitions. As a result, we observe a significant improvement of the PEAQ ODG values, but only for some of the declipping algorithms considered.

Keywords

audio; clipping; declipping; inpainting; sparsity; perceptual quality

Authors

MOKRÝ, O.; ZÁVIŠKA, P.

Released

13. 7. 2021

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5942

Book

Proceedings of the 27th Conference STUDENT EEICT 2021

Edition

1

Pages from

596

Pages to

600

Pages count

5

URL

BibTex

@inproceedings{BUT171998,
  author="Ondřej {Mokrý} and Pavel {Záviška}",
  title="Inconsistent Audio Declipping Performance Enhancement Based on Audio Inpainting",
  booktitle="Proceedings of the 27th Conference STUDENT EEICT 2021",
  year="2021",
  series="1",
  pages="596--600",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-5942",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf"
}