An Evaluation of Click Detection Algorithms Against the Results of Listening Tests

Rund F, Vencovský V, Semanský M. An Evaluation of Click Detection Algorithms Against the Results of Listening Tests. J Audio Eng Soc. 2021;69(7/8):586-593. doi:10.17743/jaes.2021.0020

@article{Rund2021_21123,
  author = {Rund, František and Vencovský, Václav and Semanský, Marek},
  title = {{An Evaluation of Click Detection Algorithms Against the Results of Listening Tests}},
  journal = {Journal of the Audio Engineering Society},
  volume = {69},
  number = {7/8},
  pages = {586--593},
  year = {2021},
  month = jul,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2021.0020},
  url = {https://doi.org/10.17743/jaes.2021.0020}
}

TY  - JOUR
TI  - An Evaluation of Click Detection Algorithms Against the Results of Listening Tests
AU  - Rund, František
AU  - Vencovský, Václav
AU  - Semanský, Marek
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 69
IS  - 7/8
SP  - 586
EP  - 593
PY  - 2021
DA  - 2021/07/06
DO  - 10.17743/jaes.2021.0020
UR  - https://doi.org/10.17743/jaes.2021.0020
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -