2. The method of claim 1 further comprising forming training means for each of the plurality of mixture components by adapting the background model based on a training speech signal from a user.
3. The method of claim 2 wherein each function further comprises the product of a posterior probability of a mixture component based on the training speech signal and a difference between a training mean and a background mean.