16. Apparatus for constructing a Markov model word baseform for a word in a vocabulary from multiple utterances thereof comprising: acoustic processor means for generating a string of labels in response to an uttered speech input; means, coupled to receive label string outputs from the acoustic processor means, for storing labels for multiple strings of labels generated by the acoustic processor in response to multiple utterances of a subject word; means for retrieving a prototype string from among the stored strings for the subject word; means, coupled to receive as input a retrieved prototype string, for forming a singleton word baseform for the retrieved prototype string; means, coupled to retrieve label strings from the label string storing means and coupled to the singleton baseform forming means, for aligning the labels in strings other than the selected prototype string against the singleton baseform, each string being divided into successive substrings respectively aligned against successive fenemic Markov models in the singleton baseform; and correlator means, coupled to receive input alignment data from the aligning means, for grouping the ith substrings of the multiple strings; each group of ith substrings corresponding to a common word segment.
16. Apparatus for constructing a Markov model word baseform for a word in a vocabulary from multiple utterances thereof comprising: acoustic processor means for generating a string of labels in response to an uttered speech input; means, coupled to receive label string outputs from the acoustic processor means, for storing labels for multiple strings of labels generated by the acoustic processor in response to multiple utterances of a subject word; means for retrieving a prototype string from among the stored strings for the subject word; means, coupled to receive as input a retrieved prototype string, for forming a singleton word baseform for the retrieved prototype string; means, coupled to retrieve label strings from the label string storing means and coupled to the singleton baseform forming means, for aligning the labels in strings other than the selected prototype string against the singleton baseform, each string being divided into successive substrings respectively aligned against successive fenemic Markov models in the singleton baseform; and correlator means, coupled to receive input alignment data from the aligning means, for grouping the ith substrings of the multiple strings; each group of ith substrings corresponding to a common word segment. 17. Apparatus as in claim 16 further comprising: model constructor means for determining the fenemic Markov model or fenemic Markov model sequence having the highest joint probability of producing the labels in a group of substrings formed by the correlator means.