3. A speech analyzer according to claim 2 wherein: said means for producing said set of likelihood representative signals in each speech pattern frame processing interval comprises means responsive to the first and second type signals for generating a set of signals representative of the probability that the reference template Markov model for the utterance speech pattern portion up to the current frame is in each of the reference template Markov model states.
3. A speech analyzer according to claim 2 wherein: said means for producing said set of likelihood representative signals in each speech pattern frame processing interval comprises means responsive to the first and second type signals for generating a set of signals representative of the probability that the reference template Markov model for the utterance speech pattern portion up to the current frame is in each of the reference template Markov model states. 5. A speech analyzer according to claim 3 wherein: said means for storing the set of K prescribed feature signals comprises means for storing K linear predictive feature prototype signals covering the range of acoustic features of the frame sequence of acoustic feature of the reference patterns; and said means for forming a sequence of acoustic feature signals representative of the utterance speech pattern comprises means for forming a sequence of linear predictive feature signals representative of the utterance speech pattern.