Abstract
A new approach to connected digit recognition is described. The recognition system is based on a novel dynamic time warping (DTW) algorithm which efficiently builds candidate strings from successive reference patterns of isolated words. The system operates over dialed‐up telephone lines and can be used as either a speaker trained or as a speaker independent recognizer. The DTW algorithm is described and the effects on performance of several key parameters of the recognition system are discussed. An important aspect of this connected digit recognizer is the effect of the training procedure on the performance of the system. It will be shown that when isolated word reference templates are used, it is important to perform appropriate normalization of the length of the reference templates to achieve good performance scores. In formal evaluation tests, average digit accuracy of about 99% with average string accuracy of about 96% was obtained with 480 variable length strings (from six talkers) for both speaker trained and speaker independent templates.
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