Audio Denoising by Time-Frequency Block Thresholding

Authors:
Guoshen Yu;S. Mallat;E. Bacry
Affiliations:
Ecole Polytech., Palaiseau;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
2008

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Abstract

Removing noise from audio signals requires a nondiagonal processing of time-frequency coefficients to avoid producing ldquomusical noise.rdquo State of the art algorithms perform a parameterized filtering of spectrogram coefficients with empirically fixed parameters. A block thresholding estimation procedure is introduced, which adjusts all parameters adaptively to signal property by minimizing a Stein estimation of the risk. Numerical experiments demonstrate the performance and robustness of this procedure through objective and subjective evaluations.