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An Efficient Algorithm for the Restoration of Audio Signals Corrupted with Low-Frequency Pulses

Digital audio restoration of old recordings is addressed, with a focus on the removal of long pulses with low-frequency content. The main drawback of the state-of-the-art method, which is based on the separation of autoregressive (AR) processes, is its high computational complexity. A method is proposed in which the pulse tails are first estimated via a nonlinear scheme called two-pass split-window (TPSW) filtering, followed by a polynominal smoothing stage. After removing the tail of each pulse by subtraction, the remaining initial clicks are suppressed through a model-based declicking algorithm. The proposed procedure is as effective for pulse removal as the AR-based method but has a substantially lower computational complexity. Moreover, from a user point of view, its processing parameters are more intuitive and easier to adjust.

Authors: Esquef, Paulo A. A.; Biscainho, Luiz W. P.; Välimäki, Vesa
Affiliations: Helsinki University of Technology, Laboratory of Acoustics and Audio Signal Processing, HUT, Espoo, Finland ; Universidade Federal do Rio de Janeiro LPS-DEL/POLI, Rio de Janeiro, RJ, Brazil(See document for exact affiliation information.)
JAES Volume 51 Issue 6 pp. 502-517; June 2003 Import into BibTeX

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