10. In a speech recognition system, wherein speech is represented by data in frames of equal time intervals, a method for generating a final word template from a plurality of tokens, comprising the steps of: (a) forming an interim template representative of at least one token; (b) generating a time alignment path between said interim template and an additional token; (c) weighting the data representing said interim template proportional to the number of tokens said interim template represents; and (d) combining frames from said interim template with frames from said additional token, dependent upon the number of tokens which the interim template represents, to produce output frames representative of the final word template.
10. In a speech recognition system, wherein speech is represented by data in frames of equal time intervals, a method for generating a final word template from a plurality of tokens, comprising the steps of: (a) forming an interim template representative of at least one token; (b) generating a time alignment path between said interim template and an additional token; (c) weighting the data representing said interim template proportional to the number of tokens said interim template represents; and (d) combining frames from said interim template with frames from said additional token, dependent upon the number of tokens which the interim template represents, to produce output frames representative of the final word template. 14. A method for generating a final word template, according to claim 10, wherein said interim template includes an approximately equal contribution of data from each token said interim template represents.