Publication detail

Introducing SPAIN (SParse Audio INpainter)

MOKRÝ, O. ZÁVIŠKA, P. RAJMIC, P. VESELÝ, V.

Original Title

Introducing SPAIN (SParse Audio INpainter)

Type

conference paper

Language

English

Original Abstract

A novel sparsity-based algorithm for audio inpainting is proposed. It is an adaptation of the SPADE algorithm by Kitić et al., originally developed for audio declipping, to the task of audio inpainting. The new SPAIN (SParse Audio INpainter) comes in synthesis and analysis variants. Experiments show that both A-SPAIN and S-SPAIN outperform other sparsity-based inpainting algorithms. Moreover, A-SPAIN performs on a par with the state-of-the-art method based on linear prediction in terms of the SNR, and, for larger gaps, SPAIN is even slightly better in terms of the PEMO-Q psychoacoustic criterion.

Keywords

Inpainting, Sparse, Cosparse, Synthesis, Analysis

Authors

MOKRÝ, O.; ZÁVIŠKA, P.; RAJMIC, P.; VESELÝ, V.

Released

2. 9. 2019

Publisher

European Signal Processing Conference

ISBN

978-9-0827-9702-2

Book

2019 27th European Signal Processing Conference (EUSIPCO)

Pages from

666

Pages to

670

Pages count

5

URL

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902560

BibTex

@inproceedings{BUT150990,
  author="Ondřej {Mokrý} and Pavel {Záviška} and Pavel {Rajmic} and Vítězslav {Veselý}",
  title="Introducing SPAIN (SParse Audio INpainter)",
  booktitle="2019 27th European Signal Processing Conference (EUSIPCO)",
  year="2019",
  pages="666--670",
  publisher="European Signal Processing Conference",
  doi="10.23919/EUSIPCO.2019.8902560",
  isbn="978-9-0827-9702-2",
  url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902560"
}