Hidden Markov Models with Imbedded Equalization for Noisy Observation

Signal observations or measurements often contain inevitable noisy components. We show in this paper that for a particular class of signal observations, namely the cepstrum of unity gain autoregressive models commonly used in speech modeling, the presence of additive white noise causes serious reduction in cepstral norm (or cepstral energy).