%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{Garner_SPECOM_2011,
                      author = {Garner, Philip N.},
                    projects = {IM2},
                       month = oct,
                       title = {Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition},
                     journal = {Speech Communication},
                      volume = {53},
                      number = {8},
                        year = {2011},
                       pages = {991--1001},
                         doi = {http://dx.doi.org/10.1016/j.specom.2011.05.007},
                    crossref = {Garner_Idiap-RR-15-2011},
                    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.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2011/Garner_SPECOM_2011.pdf}
}



crossreferenced publications: 
@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}
}