Wavelet And Self-Organizing Map Based Declacker
The past few years we have witnessed an increased interest in the restoration of musical recordings. As it is well known, there are several types of distortions that may take place in a musical signal. In this paper we look at clacks, which, broadly speaking, we can define as impulsive noise of very short amplitude (compare to the musical signal) and very short temporal support. Impulsive noise appears in many other disciplines, and several methods have been proposed through the year to deal with it. While some of these methods are effective when applied to musical signals, there are some others that are not. The former includes methods based in different flavors of linear predictors and derivative operators. The latter include methods developed for statistical outliers, among others .
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.