Sixth International Conference on Spoken Language Processing
This paper describes a robust speech documents retrieval system that uses voice input keywords. To solve the in- evitable problems which arise when the input to the system is speech, i.e. misrecognition, a novel method was devel- oped, where, before the retrieval processing, unproductive keyword candidates are discarded by a grouping process- ing using the similarity between words and the recognition score of keywords. In retrieval experiments, we used the proposed method to retrieve Japanese broadcast news doc- uments through voice keywords input to the system and showed its eectiveness.
Bibliographic reference. Nishizaki, Hiromitsu / Nakagawa, Seiichi (2000): "A system for retrieving broadcast news speech documents using voice input keywords and similarity between words", In ICSLP-2000, vol.3, 1073-1076.