Segmentation of Spoken Dialogue by Interjections, Dis uent Utterances and Pauses

This paper attempts to segment spontaneous speech of human-to-human spoken dialogues into a relatively large unit of speech, that is, a sub-phrasal unit segmented by interjections, dis uent utterances and pauses. A spontaneous speech model incorporating prosody was developed, in which three kinds of speech segment models and the transition probabilities among them were speci ed. The segmentation experiments showed that 87.6 % of the segment boundaries were located correctly within 50 msec, 81.2 % within 30 msec, which showed 10.1 point increase in performance comparing with the initial model without prosodic information.