A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137902" target="_blank" >RIV/00216305:26220/20:PU137902 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9281027" target="_blank" >https://ieeexplore.ieee.org/document/9281027</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JSTSP.2020.3042071" target="_blank" >10.1109/JSTSP.2020.3042071</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/GA20-29009S" target="_blank" >GA20-29009S: Restaurace degradovaných audiosignálů založená na sluchové percepci</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Journal of Selected Topics in Signal Processing

ISSN

1932-4553

e-ISSN

1941-0484

Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

5-24

Kód UT WoS článku

000616307100002

EID výsledku v databázi Scopus

2-s2.0-85097955444