Publication detail

Plug-and-play audio restoration with diffusion denoiser

ŠVENTO, M. RAJMIC, P. MOKRÝ, O.

Original Title

Plug-and-play audio restoration with diffusion denoiser

Type

conference paper

Language

English

Original Abstract

There have been a plethora of methods developed to tackle diverse audio reconstruction problems. Recently, deep generative models have affected this field strongly, some of them allowing to solve multiple problems with only a minimal need for adaptation. However, long inference times still represent a barrier to their real-world deployment. We propose a plug-and-play approach to audio reconstruction enabling a shorter duration of signal generation. We present our approach on a number of inverse problems, all evaluated on a piano sound dataset. Subjectively, the proposed strategy performs competitively with recent methods, however, this is rarely reflected by objective metrics.

Keywords

diffusion model, plug-and-play, audio restoration, reconstruction, declipping, denoising, inpainting

Authors

ŠVENTO, M.; RAJMIC, P.; MOKRÝ, O.

Released

4. 10. 2024

Publisher

IEEE

Location

Aalborg, Denmark

ISBN

979-8-3503-6185-8

Book

2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)

Pages from

115

Pages to

119

Pages count

5

URL

https://ieeexplore.ieee.org/document/10694642

BibTex

@inproceedings{BUT189097,
  author="Michal {Švento} and Pavel {Rajmic} and Ondřej {Mokrý}",
  title="Plug-and-play audio restoration with diffusion denoiser",
  booktitle="2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)",
  year="2024",
  pages="115--119",
  publisher="IEEE",
  address="Aalborg, Denmark",
  doi="10.1109/IWAENC61483.2024.10694642",
  isbn="979-8-3503-6185-8",
  url="https://ieeexplore.ieee.org/document/10694642"
}