In this section
@inproceedings{Eaton:2014:10.1109/ICASSP.2014.6854961,
author = {Eaton, J and Naylor, PA},
doi = {10.1109/ICASSP.2014.6854961},
pages = {7019--7023},
title = {Noise-robust detection of peak-clipping in decoded speech},
url = {http://dx.doi.org/10.1109/ICASSP.2014.6854961},
year = {2014}
}
TY - CPAPER
AB - Clipping is a commonplace problem in voice telecommunications and detection of clipping is useful in a range of speech processing applications. We analyse and evaluate the performance of three previously presented algorithms for clipping detection in decoded speech in high levels of ambient noise. We identify a baseline method which is well known for clipping detection, determine experimentally the optimized operation parameter for the baseline approach, and use this in our experiments. Our results indicate that the new algorithms outperform the baseline except at extreme levels of clipping and negative signal-to-noise ratios.
AU - Eaton,J
AU - Naylor,PA
DO - 10.1109/ICASSP.2014.6854961
EP - 7023
PY - 2014///
SP - 7019
TI - Noise-robust detection of peak-clipping in decoded speech
UR - http://dx.doi.org/10.1109/ICASSP.2014.6854961
UR - http://hdl.handle.net/10044/1/28525
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom