Detail publikace

A Proper version of Synthesis-based Sparse Audio Declipper

Originální název

A Proper version of Synthesis-based Sparse Audio Declipper

Anglický název

A Proper version of Synthesis-based Sparse Audio Declipper

Jazyk

en

Originální abstrakt

Methods based on sparse representation have found great use in the recovery of audio signals degraded by clipping. The state of the art in declipping within the sparsity-based approaches has been achieved by the SPADE algorithm by Kitić et. al. (LVA/ICA’15). Our recent study (LVA/ICA’18) has shown that although the original S-SPADE can be improved such that it converges faster than the A-SPADE, the restoration quality is significantly worse. In the present paper, we propose a new version of S-SPADE. Experiments show that the novel version of S-SPADE outperforms its old version in terms of restoration quality, and that it is comparable with the A-SPADE while being even slightly faster than A-SPADE.

Anglický abstrakt

Methods based on sparse representation have found great use in the recovery of audio signals degraded by clipping. The state of the art in declipping within the sparsity-based approaches has been achieved by the SPADE algorithm by Kitić et. al. (LVA/ICA’15). Our recent study (LVA/ICA’18) has shown that although the original S-SPADE can be improved such that it converges faster than the A-SPADE, the restoration quality is significantly worse. In the present paper, we propose a new version of S-SPADE. Experiments show that the novel version of S-SPADE outperforms its old version in terms of restoration quality, and that it is comparable with the A-SPADE while being even slightly faster than A-SPADE.

Dokumenty

BibTex


@inproceedings{BUT150959,
  author="Pavel {Záviška} and Pavel {Rajmic} and Ondřej {Mokrý} and Zdeněk {Průša}",
  title="A Proper version of Synthesis-based Sparse Audio Declipper",
  annote="Methods based on sparse representation have found great use in the recovery of audio signals degraded by clipping. The state of the art in declipping within the sparsity-based approaches has been achieved by the SPADE algorithm by Kitić et. al. (LVA/ICA’15). Our recent study (LVA/ICA’18) has shown that although the original S-SPADE can be improved such that it converges faster than the A-SPADE, the restoration quality is significantly worse. In the present paper, we propose a new version of S-SPADE. Experiments show that
the novel version of S-SPADE outperforms its old version in terms of restoration quality, and that it is comparable with the A-SPADE while being even slightly faster than A-SPADE.",
  address="IEEE",
  booktitle="2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
  chapter="150959",
  doi="10.1109/ICASSP.2019.8682348",
  howpublished="online",
  institution="IEEE",
  number="1",
  year="2019",
  month="april",
  pages="591--595",
  publisher="IEEE",
  type="conference paper"
}