2021
DOI: 10.17743/jaes.2021.0020
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An Evaluation of Click Detection Algorithms Against the Results of Listening Tests

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Cited by 4 publications
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“…We included six different 10-s piano music examples, repeated twice in random order, forming a total of 12 pages in the MUSHRA test. The audio examples included in the test are available listen at the companion webpage 3 .…”
Section: Subjective Evaluation Of Synthetic Filtered Datamentioning
confidence: 99%
See 1 more Smart Citation
“…We included six different 10-s piano music examples, repeated twice in random order, forming a total of 12 pages in the MUSHRA test. The audio examples included in the test are available listen at the companion webpage 3 .…”
Section: Subjective Evaluation Of Synthetic Filtered Datamentioning
confidence: 99%
“…The goal of digital audio restoration is to correct the imperfections of audio recordings so that the resulting sound quality is enhanced. Restoration may target the removal of clicks and noises [3], [4], the inpainting of missing audio segments [5], [6], declipping [7], or the bandwidth extension of narrow-band audio signals, among other tasks.…”
Section: Introductionmentioning
confidence: 99%
“…The goal of digital audio restoration is to correct the imperfections of audio recordings so that the resulting sound quality is enhanced. Restoration may target the removal of clicks and noises [3], [4], the inpainting of missing audio segments [5], [6], declipping [7], or the bandwidth extension of bandlimited audio signals, among other tasks.…”
Section: Introductionmentioning
confidence: 99%
“…The denoising problem has been previously tackled with various techniques, such as Wiener filtering, wavelets [3], and spectral substraction [4,5], which only affected stationary noise. The removal of clicks and thumps had to be treated independently by firstly detecting them and then interpolating the missing samples [1,6,7]. With the rise of machine learning, deep neural networks have been successfully applied for different kinds of audio restoration goals, such as speech enhancement [8,9], bandwidth extension [10], audio inpainting [11], and low-bitrate audio restoration [12].…”
Section: Introductionmentioning
confidence: 99%