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 [BibTeX] [Marc21]
Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition.
Type of publication: Idiap-RR
Citation: Garner_Idiap-RR-15-2011
Number: Idiap-RR-15-2011
Year: 2011
Month: 5
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.
Keywords: aurora, Automatic Speech Recognition, cepstral normalisation, Noise Robustness
Projects IM2
Authors Garner, Philip N.
Crossref by Garner_SPECOM_2011
Added by: [ADM]
Total mark: 0
  • Garner_Idiap-RR-15-2011.pdf (MD5: 06d4e5ae744f8c113e42eda318485a64)