A Procedure to Generate Training Sequences for a Connected Word Recognizer Using the Segmental k-means Training Algorithm

Past research has shown that a connected digit recognition system, based on either word templates or word hidden Markov models (HMM), could effectively be trained using a segmental k-means training procedure. In these studies, a set of randomly generated digit strings of variable length was used to train the recognizer.