29. A method for receiving input spoken vocabulary words during a training phase of operation and for subsequently recognizing strings of received input spoken command words, comprising the steps of: generating digital feature signals dependent on the features present in input words; forming and storing, for each vocabulary word, a time-dependent reference array dependent on the feature signals present during the vocabulary word as spoken during the training phase; detecting relatively long duration pauses between speech sounds as inter-string pauses from which string boundaries are determined, the string boundaries defining the beginning and end of a string of words, and detecting relatively short duration pauses between speech sounds as inter-segment pauses from which speech segment boundaries are determined within a string of words; forming and storing, for each command word candidate consisting of each segment and each sequence of up to a predetermined number of segments, a time-dependent candidate feature array dependent upon the feature signals present during said command word candidate; comparing each candidate feature array with each reference array and storing, for each command word candidate, the vocabulary word whose reference array results in the highest correlation and a record of the score of said highest correlation; determining, using the stored correlation scores and words, the sequence of vocabulary words that yields the highest overall correlation score for the string; and generating output indications of the determined sequence of vocabulary words.
29. A method for receiving input spoken vocabulary words during a training phase of operation and for subsequently recognizing strings of received input spoken command words, comprising the steps of: generating digital feature signals dependent on the features present in input words; forming and storing, for each vocabulary word, a time-dependent reference array dependent on the feature signals present during the vocabulary word as spoken during the training phase; detecting relatively long duration pauses between speech sounds as inter-string pauses from which string boundaries are determined, the string boundaries defining the beginning and end of a string of words, and detecting relatively short duration pauses between speech sounds as inter-segment pauses from which speech segment boundaries are determined within a string of words; forming and storing, for each command word candidate consisting of each segment and each sequence of up to a predetermined number of segments, a time-dependent candidate feature array dependent upon the feature signals present during said command word candidate; comparing each candidate feature array with each reference array and storing, for each command word candidate, the vocabulary word whose reference array results in the highest correlation and a record of the score of said highest correlation; determining, using the stored correlation scores and words, the sequence of vocabulary words that yields the highest overall correlation score for the string; and generating output indications of the determined sequence of vocabulary words. 30. The method as defined by claim 29 wherein said reference array formation and said candidate feature array formation comprise forming time-normalized arrays.