Project detail

Perceptually motivated restoration of highly degraded audio signals

Duration: 01.01.2020 — 31.12.2022

Mark

20-29009S

Default language

English

People responsible

Mokrý Ondřej, Ing. - fellow researcher
Záviška Pavel, Ing. - fellow researcher
Rajmic Pavel, doc. Mgr., Ph.D. - principal person responsible

Units

Department of Telecommunications
- (2019-04-04 - not assigned)

Funding resources

Czech Science Foundation - Standardní projekty

- whole funder (2020-02-19 - not assigned)

Results

ZÁVIŠKA, P.; RAJMIC, P. Sparse and Cosparse Audio Dequantization Using Convex Optimization. In Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 216-220. ISBN: 978-1-7281-6376-5.
Detail

MOKRÝ, O.; RAJMIC, P.; ZÁVIŠKA, P. Flexible framework for audio reconstruction. In Proceedings of the International Conference on Digital Audio Effects (DAFx). Proceedings of the International Conference on Digital Audio Effects (DAFx). Vídeň: 2020. p. 117-124. ISSN: 2413-6689.
Detail

MOKRÝ, O.; RAJMIC, P. Audio Inpainting: Revisited and Reweighted. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, 2020, no. 28, p. 2906-2918. ISSN: 2329-9290.
Detail

MOKRÝ, O.; RAJMIC, P. Approximal operator with application to audio inpainting. SIGNAL PROCESSING, 2020, vol. 179, no. 1, p. 1-8. ISSN: 0165-1684.
Detail

MOKRÝ, O.; ZÁVIŠKA, P. Inconsistent Audio Declipping Performance Enhancement Based on Audio Inpainting. Proceedings of the 27th Conference STUDENT EEICT 2021. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 596-600. ISBN: 978-80-214-5942.
Detail

ZÁVIŠKA, P.; RAJMIC, P.; OZEROV, A.; RENCKER, L. A Survey and an Extensive Evaluation of Popular Audio Declipping Methods. IEEE Journal of Selected Topics in Signal Processing, 2020, vol. 15, no. 1, p. 5-24. ISSN: 1941-0484.
Detail

RAJMIC, P.; BERTIN, N.; EMIYA, V.; HOLIGHAUS, N.; OZEROV, A. Editorial: Reconstruction of Audio From Incomplete or Highly Degraded Observations. IEEE Journal of Selected Topics in Signal Processing, 2021, vol. 15, no. 1, p. 2-4. ISSN: 1941-0484.
Detail

ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O. Audio Dequantization Using (Co)Sparse (Non)Convex Methods. In 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proc. International Conference on Acoustics, Speech, and Signal Processing. Toronto, Canada: IEEE, 2021. p. 701-705. ISBN: 978-1-7281-7605-5. ISSN: 1520-6149.
Detail

ZÁVIŠKA, P.: LAUDET; Large Audio Declipping Toolbox. pracovna SD5.66, Technická 12, 61600 Brno. URL: https://github.com/rajmic/declipping2020_codes. (software)
Detail

Link