Comparison of Autoregressive Model Based Perceptible Click Detection Algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00358041" target="_blank" >RIV/68407700:21230/22:00358041 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.cvut.cz/poster" target="_blank" >http://www.cvut.cz/poster</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Autoregressive Model Based Perceptible Click Detection Algorithms

Popis výsledku v původním jazyce

In this paper, Autoregressive (AR) model based click detection algorithms are compared in terms of their ability to detect only the perceptible impulsive noise (clicks) contained in the audio signals taken from damaged vinyl records. All the algorithms are using the same principle of detection but they are all improved differently in the mentioned literature. The test audio signals are previously classified to be containing or not containing clicks. Comparison criterion is based on a previously introduced custom function, defined through the correct and the false detection ratios. Run time comparisons of the algorithms are also made. Results showed that a Simple AR model algorithm performed the best, both in detection and in run time, amongst the compared AR algorithms.

Název v anglickém jazyce

Comparison of Autoregressive Model Based Perceptible Click Detection Algorithms

Popis výsledku anglicky

In this paper, Autoregressive (AR) model based click detection algorithms are compared in terms of their ability to detect only the perceptible impulsive noise (clicks) contained in the audio signals taken from damaged vinyl records. All the algorithms are using the same principle of detection but they are all improved differently in the mentioned literature. The test audio signals are previously classified to be containing or not containing clicks. Comparison criterion is based on a previously introduced custom function, defined through the correct and the false detection ratios. Run time comparisons of the algorithms are also made. Results showed that a Simple AR model algorithm performed the best, both in detection and in run time, amongst the compared AR algorithms.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10307 - Acoustics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the International Student Scientific Conference Poster – 26/2022

ISBN

978-80-01-06992-9

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Fakulta elektrotechnická

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

12. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—