Detail publikace

Psychoacoustically motivated audio declipping based on weighted l1 minimization

ZÁVIŠKA, P. RAJMIC, P. SCHIMMEL, J.

Originální název

Psychoacoustically motivated audio declipping based on weighted l1 minimization

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

A novel method for audio declipping based on sparsity is presented. The method incorporates psychoacoustic information by weighting the transform coefficients in the l1 minimization. Weighting leads to an improved quality of restoration while retaining a low complexity of the algorithm. Three possible constructions of the weights are proposed, based on the absolute threshold of hearing, the global masking threshold and on a quadratic curve. Experiments compare the restoration quality according to the signal-to-distortion ratio (SDR) and PEMO-Q objective difference grade (ODG) and indicate that with correctly chosen weights, the presented method is able to compete, or even outperform, the current state of the art.

Klíčová slova

Declipping; Psychoacoustics; Restoration; Sparsity

Autoři

ZÁVIŠKA, P.; RAJMIC, P.; SCHIMMEL, J.

Vydáno

1. 7. 2019

Nakladatel

IEEE

Místo

Budapest, Hungary

ISBN

978-1-7281-1864-2

Kniha

Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP)

Strany od

338

Strany do

342

Strany počet

5

BibTex

@inproceedings{BUT156218,
  author="Pavel {Záviška} and Pavel {Rajmic} and Jiří {Schimmel}",
  title="Psychoacoustically motivated audio declipping based on weighted l1 minimization",
  booktitle="Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
",
  year="2019",
  pages="338--342",
  publisher="IEEE",
  address="Budapest, Hungary",
  doi="10.1109/TSP.2019.8769109",
  isbn="978-1-7281-1864-2"
}