Detail publikace

Audio Dequantization Using (Co)Sparse (Non)Convex Methods

ZÁVIŠKA, P. RAJMIC, P. MOKRÝ, O.

Originální název

Audio Dequantization Using (Co)Sparse (Non)Convex Methods

Anglický název

Audio Dequantization Using (Co)Sparse (Non)Convex Methods

Jazyk

en

Originální abstrakt

The paper deals with the hitherto neglected topic of audio dequantization. It reviews the state-of-the-art sparsity-based approaches and proposes several new methods. Convex as well as non-convex approaches are included, and all the presented formulations come in both the synthesis and analysis variants. In the experiments the methods are evaluated using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric.

Anglický abstrakt

The paper deals with the hitherto neglected topic of audio dequantization. It reviews the state-of-the-art sparsity-based approaches and proposes several new methods. Convex as well as non-convex approaches are included, and all the presented formulations come in both the synthesis and analysis variants. In the experiments the methods are evaluated using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric.

Dokumenty

BibTex


@inproceedings{BUT171056,
  author="Pavel {Záviška} and Pavel {Rajmic} and Ondřej {Mokrý}",
  title="Audio Dequantization Using (Co)Sparse (Non)Convex Methods",
  annote="The paper deals with the hitherto neglected topic of audio dequantization. It reviews the state-of-the-art sparsity-based approaches and proposes several new methods. Convex as well as non-convex approaches are included, and all the presented formulations come in both the synthesis and analysis variants. In the experiments the methods are evaluated using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric.",
  address="IEEE",
  booktitle="2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
  chapter="171056",
  doi="10.1109/ICASSP39728.2021.9414637",
  howpublished="online",
  institution="IEEE",
  number="1",
  year="2021",
  month="may",
  pages="701--705",
  publisher="IEEE",
  type="conference paper"
}