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.
Click to purchase paper or login as an AES member. If your company or school subscribes to the AES Journal then you can look for this paper in the institutional version of the Online Journal. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.