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@TECHREPORT{Garner_Idiap-RR-15-2011,
author = {Garner, Philip N.},
keywords = {aurora, Automatic Speech Recognition, cepstral normalisation, Noise Robustness},
projects = {IM2},
month = {5},
title = {Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition.},
type = {Idiap-RR},
number = {Idiap-RR-15-2011},
year = {2011},
institution = {Idiap},
abstract = {Cepstral normalisation in automatic speech recognition is
investigated in the context of robustness to additive noise. It is
argued that such normalisation leads naturally to a speech feature
based on signal to noise ratio rather than absolute energy (or
power). Explicit calculation of this {\em SNR-cepstrum} by means of a
noise estimate is shown to have theoretical and practical advantages
over the usual (energy based) cepstrum. The SNR-cepstrum is shown
to be almost identical to the articulation index known in
psycho-acoustics. Combination of the SNR-cepstrum with the well
known perceptual linear prediction method is shown to be beneficial
in noisy environments.},
pdf = {https://publications.idiap.ch/attachments/reports/2010/Garner_Idiap-RR-15-2011.pdf}
}