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 [BibTeX] [Marc21]
Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition
Type of publication: Journal paper
Citation: Garner_SPECOM_2011
Publication status: Published
Journal: Speech Communication
Volume: 53
Number: 8
Year: 2011
Month: October
Pages: 991--1001
Crossref: Garner_Idiap-RR-15-2011:
DOI: http://dx.doi.org/10.1016/j.specom.2011.05.007
Abstract: Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. In this paper, 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 SNR-cepstrum by means of a noise estimate is shown to have theoretical and practical advantages over the usual (energy based) cepstrum. The relationship between the SNR-cepstrum and the articulation index, known in psycho-acoustics, is discussed. Experiments are presented suggesting that the combination of the SNR-cepstrum with the well known perceptual linear prediction method can be beneficial in noisy environments.
Projects IM2
Authors Garner, Philip N.
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  • Garner_SPECOM_2011.pdf