1. A method for assessing speech with respect to a predetermined client speaker, comprising: training a set of speech models upon the speech from a plurality of training speakers, the plurality of training speakers including at least one client speaker; constructing an eigenspace to represent said plurality of training speakers by performing dimensionality reduction upon said set of models to generate a set of basis vectors that define said eigenspace; representing said client speaker as a first location in said eigenspace; processing new speaker input data by training a new speech model upon said input data and by performing dimensionality reduction upon said new speech model to generate a representation of said new speaker as a second location in eigenspace; assessing the proximity between said first and second locations and using said assessment as an indication of whether the new speaker is the client speaker.