Audio Denoising by Time-Frequency Block Thresholding

Abstract--Removing noise from audio signals requires a nondiagonal processing of time-frequency coefficients to avoid producing "musical noise." 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.

• Type: Journal
• Year: 2008
• Where: TSP
• Authors: Guoshen Yu, Stéphane Mallat, Emmanuel Bacry
• Keywords: Audio Signals, Spectrogram Coefficients, Time-frequency Coefficients, TSP 2008