Publication detail

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

ZÁVIŠKA, P. RAJMIC, P. MOKRÝ, O.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Audio dequantization;Sparsity;Cosparsity;Convex;Nonconvex;Evaluation;Perception

Released

13.05.2021

Publisher

IEEE

Location

Toronto, Canada

ISBN

978-1-7281-7605-5

Book

2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Pages from

701

Pages to

705

Pages count

5

URL

Documents

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"
}