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This paper evaluates the ability of several algorithms to detect impulse distortions (clicks) in audio signals. The systems are evaluated against data from a listening test conducted using real audio signals provided by a vinyl manufacturer. Some of the signals contained clicks due to damage during the manufacturing process. An evaluation of click detection algorithms against listening test results focuses on the ability of the click-detection algorithms to detect perceptible clicks. The results presented in this paper show that an algorithm that employs a hearing model detected audible clicks with a lower false detection rate than the other algorithms in the test and that the wavelet transform–based algorithm with a dynamic threshold outperformed the other algorithms.
Author (s): Rund, František; Vencovský, Václav; Semanský, Marek
Affiliation:
Czech Technical University in Prague, Department of Radioelectronics, Czech Republic
(See document for exact affiliation information.)
Publication Date:
2021-07-06
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Rund, František; Vencovský, Václav; Semanský, Marek; 2021; An Evaluation of Click Detection Algorithms Against the Results of Listening Tests [PDF]; Czech Technical University in Prague, Department of Radioelectronics, Czech Republic; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=21123
Rund, František; Vencovský, Václav; Semanský, Marek; An Evaluation of Click Detection Algorithms Against the Results of Listening Tests [PDF]; Czech Technical University in Prague, Department of Radioelectronics, Czech Republic; Paper ; 2021 Available: https://aes2.org/publications/elibrary-page/?id=21123
@article{rund2021an,
author={rund františek and vencovský václav and semanský marek},
journal={journal of the audio engineering society},
title={an evaluation of click detection algorithms against the results of listening tests},
year={2021},
volume={69},
issue={7/8},
pages={586-593},
month={july},}