1. A model-space transformation method for speech recognition comprising the steps of: applying a linear transformation to a trended HMM; and estimating mean parameters of said trended HMM with a minimum classification error (MCE) training; said linear transform applying step adapting a set of speaker independent models to a specific speaker by applying a set of linear transformations to respective Gaussian mean vectors thereof.