A speech recognition adaptation method for a vehicle having a telematics
unit with an embedded speech recognition system. Speech is received and
pre-processed to generate acoustic feature vectors, and an adaptation
parameter is applied to the acoustic feature vectors to yield transformed
acoustic feature vectors. The transformed acoustic feature vectors are
decoded and a hypothesis of the speech is selected, and the adaptation
parameter is trained using acoustic feature vectors from the hypothesis.
The method also includes one or more of the following steps: the speech
is observed for a certain characteristic and the trained adaptation
parameter is saved in accordance with the certain characteristic for use
in transforming feature vectors of subsequent speech having the certain
characteristic; use of the trained adaptation parameter persists from one
vehicle ignition cycle to the next; and use of the trained adaptation
parameter is ceased upon detection of a system fault.