Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Záviška, Pavel"'
Publikováno v:
2023 46th International Conference on Telecommunications and Signal Processing (TSP)
Sasaki et al. (2018) presented an efficient audio declipping algorithm, based on the properties of Hankel-structure matrices constructed from time-domain signal blocks. We adapt their approach to solving the audio inpainting problem, where samples ar
Externí odkaz:
http://arxiv.org/abs/2303.18023
Autor:
Záviška, Pavel, Rajmic, Pavel
Publikováno v:
2022 45th International Conference on Telecommunications and Signal Processing (TSP)
We develop the analysis (cosparse) variant of the popular audio declipping algorithm of Siedenburg et al. (2014). Furthermore, we extend both the old and the new variants by the possibility of weighting the time-frequency coefficients. We examine the
Externí odkaz:
http://arxiv.org/abs/2205.10215
Publikováno v:
Elsevier Signal Processing, vol. 192, March 2022, 108365
Some audio declipping methods produce waveforms that do not fully respect the physical process of clipping, which is why we refer to them as inconsistent. This letter reports what effect on perception it has if the solution by inconsistent methods is
Externí odkaz:
http://arxiv.org/abs/2104.03074
Publikováno v:
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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 formula
Externí odkaz:
http://arxiv.org/abs/2010.16386
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 1, pp. 5-24, Jan. 2021
Dynamic range limitations in signal processing often lead to clipping, or saturation, in signals. The task of audio declipping is estimating the original audio signal, given its clipped measurements, and has attracted much interest in recent years. A
Externí odkaz:
http://arxiv.org/abs/2007.07663
Publikováno v:
23rd International Conference on Digital Audio Effects (eDAFx2020)
The paper presents a unified, flexible framework for the tasks of audio inpainting, declipping, and dequantization. The concept is further extended to cover analogous degradation models in a transformed domain, e.g. quantization of the signal's time-
Externí odkaz:
http://arxiv.org/abs/2004.11162
Autor:
Záviška, Pavel, Rajmic, Pavel
Publikováno v:
2020 43rd International Conference on Telecommunications and Signal Processing (TSP)
The paper shows the potential of sparsity-based methods in restoring quantized signals. Following up on the study of Brauer et al. (IEEE ICASSP 2016), we significantly extend the range of the evaluation scenarios: we introduce the analysis (cosparse)
Externí odkaz:
http://arxiv.org/abs/2003.04222
Publikováno v:
2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
A novel method for audio declipping based on sparsity is presented. The method incorporates psychoacoustic information by weighting the transform coefficients in the $\ell_1$ minimization. Weighting leads to an improved quality of restoration while r
Externí odkaz:
http://arxiv.org/abs/1905.00628
Autor:
Záviška, Pavel
This Master's Thesis deals with the issue of audio clipping and the application of sparse represenations model for the task of declipping. First, a general theory of clipping is described, followed by a brief overview of existing methods and a descri
Externí odkaz:
http://www.nusl.cz/ntk/nusl-317028
Publikováno v:
2019 27th European Signal Processing Conference (EUSIPCO)
A novel sparsity-based algorithm for audio inpainting is proposed. It is an adaptation of the SPADE algorithm by Kiti\'c et al., originally developed for audio declipping, to the task of audio inpainting. The new SPAIN (SParse Audio INpainter) comes
Externí odkaz:
http://arxiv.org/abs/1810.13137