We present an algorithm for end to end declipping, which includes clipping detection and the replacement of clipped samples. To detect regions of clipping, we analyze the signal’s amplitude histogram and the shape of the signal in the time-domain. The sample replacement algorithm uses a two-pass approach: short regions of clipping are replaced in the time-domain and long regions of clipping are replaced in the frequency-domain. The algorithm is robust against different types of clipping and is efficient compared to existing approaches. The algorithm has been implemented in an open source JavaScript client-side web application. Clipping detection is shown to give an f-measure of 0.92 and is robust to the clipping level.

Authors: Laguna, Christopher; Lerch, Alexander
Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
AES Convention: 141 (September 2016) Paper Number: 9682
Publication Date: September 20, 2016
Subject: Signal Processing

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