Grantová agentura České republiky - Standardní projekty

- plně financující (2020-02-19 - nezadáno)

20-29009S

angličtina

Rajmic Pavel, prof. Mgr., Ph.D. - hlavní řešitel
Mokrý Ondřej, Ing., Ph.D. - spoluřešitel
Záviška Pavel, Ing., Ph.D. - spoluřešitel

Ústav telekomunikací
- příjemce (04.04.2019 - nezadáno)

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

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

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.; 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: DAFx, 2020. p. 117-124. ISSN: 2413-6689.
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

ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O. Multiple Hankel matrix rank minimization for audio inpainting. In Proceedings of the 2023 46th International Conference on Telecommunications and Signal Processing (TSP). Prague, Czech republic: IEEE, 2023. p. 47-51. ISBN: 979-8-3503-0396-4.
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

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.; MOKRÝ, O. Audio declipping performance enhancement via crossfading. SIGNAL PROCESSING, 2021, vol. 192, no. 1, p. 1-5. ISSN: 0165-1684.
Detail

ZÁVIŠKA, P.; RAJMIC, P. Audio Declipping with (Weighted) Analysis Social Sparsity. In Proceedings of the 2022 45th International Conference on Telecommunications and Signal Processing (TSP). Prague, Czech republic: IEEE, 2022. p. 407-412. ISBN: 978-1-6654-6948-7.
Detail

MOKRÝ, O.; MAGRON, P.; OBERLIN, T.; FÉVOTTE, C. Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. SIGNAL PROCESSING, 2022, no. 206, p. 1-10. ISSN: 1872-7557.
Detail

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

http://www.utko.feec.vutbr.cz/~rajmic/projects/gacr-2020-22/