Detail publikace

Audio Inpainting: Revisited and Reweighted

MOKRÝ, O. RAJMIC, P.

Originální název

Audio Inpainting: Revisited and Reweighted

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In this article, we deal with the problem of sparsity-based audio inpainting, i.e. filling in the missing segments of audio. A consequence of the approaches based on mathematical optimization is the insufficient amplitude of the signal in the filled gaps. Remaining in the framework based on sparsity and convex optimization, we propose improvements to audio inpainting, aiming at compensating for such an energy loss. The new ideas are based on different types of weighting, both in the coefficient and the time domains. We show that our propositions improve the inpainting performance in terms of both the SNR and ODG.

Klíčová slova

audio inpainting; sparse representations; proximal algorithms; Douglas–Rachford algorithm; Chambolle–Pock algorithm; energy loss compensation; amplitude drop

Autoři

MOKRÝ, O.; RAJMIC, P.

Vydáno

13. 10. 2020

Nakladatel

IEEE

ISSN

2329-9290

Periodikum

IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING

Číslo

28

Stát

Spojené státy americké

Strany od

2906

Strany do

2918

Strany počet

13

URL

https://ieeexplore.ieee.org/document/9222235

BibTex

@article{BUT164794,
  author="Ondřej {Mokrý} and Pavel {Rajmic}",
  title="Audio Inpainting: Revisited and Reweighted",
  journal="IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING",
  year="2020",
  number="28",
  pages="2906--2918",
  doi="10.1109/TASLP.2020.3030486",
  issn="2329-9290",
  url="https://ieeexplore.ieee.org/document/9222235"
}