Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

A System for Retrieving Broadcast News Speech Documents Using Voice Input Keywords and Similarity Between Words

Hiromitsu Nishizaki, Seiichi Nakagawa

Dept. of Information and Computer Sciences, Toyohashi Univ. of Technology, Tempaku, Toyohashi, Aichi, Japan

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 e ectiveness.

Full Paper

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.