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ZÁVIŠKA, P. RAJMIC, P. OZEROV, A. RENCKER, L.
Originální název
A Survey and an Extensive Evaluation of Popular Audio Declipping Methods
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Dynamic range limitations in signal processing often lead to clipping, or saturation, in signals. Audio declipping is the task of estimating the original audio signal given its clipped measurements and has attracted a lot of interest in recent years. Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, as well as the measurement system. In this paper, we provide an extensive review of audio declipping algorithms proposed in the literature. For each algorithm, we present the assumptions being made about the audio signal, the modeling domain, as well as the optimization algorithm. Furthermore, we provide an extensive numerical evaluation of popular declipping algorithms, on real audio data. We evaluate each algorithm in terms of the Signal-to-Distortion Ratio, as well as using perceptual metrics of sound quality. The article is accompanied with the repository containing the evaluated methods.
Klíčová slova
audio clipping; saturation; declipping; model; sparsity; learning; optimization; evaluation; survey
Autoři
ZÁVIŠKA, P.; RAJMIC, P.; OZEROV, A.; RENCKER, L.
Vydáno
4. 12. 2020
Nakladatel
IEEE
ISSN
1941-0484
Periodikum
IEEE Journal of Selected Topics in Signal Processing
Ročník
15
Číslo
1
Stát
Spojené státy americké
Strany od
5
Strany do
24
Strany počet
20
URL
https://ieeexplore.ieee.org/document/9281027
BibTex
@article{BUT166152, author="Pavel {Záviška} and Pavel {Rajmic} and Alexey {Ozerov} and Lucas {Rencker}", title="A Survey and an Extensive Evaluation of Popular Audio Declipping Methods", journal="IEEE Journal of Selected Topics in Signal Processing", year="2020", volume="15", number="1", pages="5--24", doi="10.1109/JSTSP.2020.3042071", issn="1941-0484", url="https://ieeexplore.ieee.org/document/9281027" }