An Efficient Algorithm for Clipping Detection and Declipping Audio
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C. Laguna, and A. Lerch, "An Efficient Algorithm for Clipping Detection and Declipping Audio," Paper 9682, (2016 September.). doi:
C. Laguna, and A. Lerch, "An Efficient Algorithm for Clipping Detection and Declipping Audio," Paper 9682, (2016 September.). doi:
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.
@article{laguna2016an,
author={laguna, christopher and lerch, alexander},
journal={journal of the audio engineering society},
title={an efficient algorithm for clipping detection and declipping audio},
year={2016},
volume={},
number={},
pages={},
doi={},
month={september},}
@article{laguna2016an,
author={laguna, christopher and lerch, alexander},
journal={journal of the audio engineering society},
title={an efficient algorithm for clipping detection and declipping audio},
year={2016},
volume={},
number={},
pages={},
doi={},
month={september},
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.},}
TY - paper
TI - An Efficient Algorithm for Clipping Detection and Declipping Audio
SP -
EP -
AU - Laguna, Christopher
AU - Lerch, Alexander
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2016
TY - paper
TI - An Efficient Algorithm for Clipping Detection and Declipping Audio
SP -
EP -
AU - Laguna, Christopher
AU - Lerch, Alexander
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2016
AB - 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.
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, 2016Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=18486