11. A method for recognizing a speech pattern as a string of predetermined reference words comprising the steps of: storing a set of signals representative of the time frame sequence of acoustic features of each reference word, said sequence having a beginning frame and an ending frame; producing a set of signals representative of the time frame sequence of acoustic features of the speech pattern; generating at least one reference word string responsive to the speech pattern acoustic feature signals and the reference word acoustic feature signals; and identifying the speech pattern as one of the generated reference word strings characterized in that said reference word string generation comprises: producing a set of signals identifying successive reference word levels; assigning a segment of the speech pattern to each successive level; for each level, time registering the level speech pattern segment feature signals with the feature signals of the reference words to produce level time registration speech pattern segment endframe signals and time registration correspondence signals for said reference words, and selecting reference word strings responsive to the time registration speech pattern endframe and time registration correspondence signals of the levels.
11. A method for recognizing a speech pattern as a string of predetermined reference words comprising the steps of: storing a set of signals representative of the time frame sequence of acoustic features of each reference word, said sequence having a beginning frame and an ending frame; producing a set of signals representative of the time frame sequence of acoustic features of the speech pattern; generating at least one reference word string responsive to the speech pattern acoustic feature signals and the reference word acoustic feature signals; and identifying the speech pattern as one of the generated reference word strings characterized in that said reference word string generation comprises: producing a set of signals identifying successive reference word levels; assigning a segment of the speech pattern to each successive level; for each level, time registering the level speech pattern segment feature signals with the feature signals of the reference words to produce level time registration speech pattern segment endframe signals and time registration correspondence signals for said reference words, and selecting reference word strings responsive to the time registration speech pattern endframe and time registration correspondence signals of the levels. 18. A method for recognizing a speech pattern as a string of predetermined reference words according to claim 11 further characterized in that said time registering comprises: selecting a range of reference word frames for each speech pattern segment frame at each level responsive to the reference word feature signals and the speech pattern feature signals and terminating the time registration of said level reference word responsive to the selected reference word registration range lower limit frame being equal to or exceeding the reference word ending frame.