Detail publikace

Introducing SPAIN (SParse Audio INpainter)

Originální název

Introducing SPAIN (SParse Audio INpainter)

Anglický název

Introducing SPAIN (SParse Audio INpainter)

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inproceedings{BUT150990,
  author="Ondřej {Mokrý} and Pavel {Záviška} and Pavel {Rajmic} and Vítězslav {Veselý}",
  title="Introducing SPAIN (SParse Audio INpainter)",
  annote="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.",
  address="European Signal Processing Conference",
  booktitle="2019 27th European Signal Processing Conference (EUSIPCO)",
  chapter="150990",
  doi="10.23919/EUSIPCO.2019.8902560",
  howpublished="online",
  institution="European Signal Processing Conference",
  year="2019",
  month="september",
  pages="666--670",
  publisher="European Signal Processing Conference",
  type="conference paper"
}