11. A method for generating an enhanced set of centroids representative of an input speech signal for use by a speech recognition system, utilizing an initial set of centroids based on a training speech signal, comprising: (a) computing an estimate of the bias for the training speech signal based on maximizing a likelihood function; (b) subtracting the estimate of the bias from the training speech signal to obtain a tentative training speech value; (c) repeating steps (a) and (b), wherein each subsequent computed estimate of the bias is based on the previous tentative training speech value to arrive at a reduced bias training speech signal value; (d) recomputing the centroids based on the reduced bias training speech signal to generate a new set of centroids; and (e) repeating steps (a) to (d) to compute a processed reduce bias speech signal to form an enhanced set of centroids.
11. A method for generating an enhanced set of centroids representative of an input speech signal for use by a speech recognition system, utilizing an initial set of centroids based on a training speech signal, comprising: (a) computing an estimate of the bias for the training speech signal based on maximizing a likelihood function; (b) subtracting the estimate of the bias from the training speech signal to obtain a tentative training speech value; (c) repeating steps (a) and (b), wherein each subsequent computed estimate of the bias is based on the previous tentative training speech value to arrive at a reduced bias training speech signal value; (d) recomputing the centroids based on the reduced bias training speech signal to generate a new set of centroids; and (e) repeating steps (a) to (d) to compute a processed reduce bias speech signal to form an enhanced set of centroids. 13. The method of claim 11, further comprising: (a) utilizing the enhanced centroids to compute an estimate of the bias for each utterance of an input speech signal based on maximizing a likelihood function; (b) subtracting the estimate of the bias from the speech signal to obtain a tentative speech value; (c) repeating steps (a) and (b), wherein each subsequent computed estimate of the bias is based on the previous tentative speech value, to result in a reduced bias speech signal value; and (d) utilizing the reduced bias speech signal value as input to a speech recognizer.