Fast channel adaptation for continuous density HMMs using maximum likelihood spectral transform

A transform-based adaptation algorithm for robust speech recognition in unknown environments is proposed. In the cepstral domain, it is difficult to handle environmental noise. The proposed approach deals with such noise in the linear spectral domain, so that a small number of parameters can be used for fast adaptation.