Sentence spotting applied to partial sentences and unknown words

Itoh et al. (1993) developed a system that uses vector continuous dynamic programming (VCDP). This system works well for sentence spotting in spontaneous speech. Partial sentences intended to convey complete meaning, as well as words that are unknown to the system appear quite often in spontaneous speech. The present authors have extended the sentence spotting algorithm such that it is now capable of accepting partial sentences and detecting unknown words. The paper proposes a method for spotting partial sentences by making networks to represent them and to cope with unknown words by detecting the section containing the unknown word and generating the appropriate demi-phoneme sequence. The results show that the same level of performance can be attained with spotting partial sentences as well as complete sentences. Also, unknown words can be detected well.<<ETX>>