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Convention Paper

An Efficient Algorithm for Clipping Detection and Declipping Audio

Authors: Laguna, Christopher; Lerch, Alexander

AES Convention 141 · Paper 9682 · September 2016

Abstract

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.

Details

Published in
AES Convention 141
AES Convention
141
Paper number
9682
Publication date
September 6, 2016
Session subject
Signal Processing
Affiliation
Georgia Institute of Technology, Atlanta, GA, USA (See document for exact affiliation information.)
Type
Convention Paper