Phoneme based spoken document retrieval
conference paper
Since speech recognition technology has become more and more mature, retrieval of spoken documents has become a feasible task. We report about two cases, which aim at scalable and effective retrieval of broadcast recordings. The approach is based on a hybrid architecture, which combines the speed of off-line phoneme indexing and precision of wordspotting while maintaining a scalable architecture, which allows for frequent updates of the database where out-of-vocabulary (OOV) words are abundant. A pilot experiment has been done on a small database of recordings of a Dutch talkshow. A more extensive evaluation took place in the framework of the Spoken Document Retrieval track of TREC7 on English broadcast news.
Topics
TNO Identifier
12359
Source title
Proceedings of Twente workshop on Language Technology (TWLT14): Language Technology in Multimedia Information
Retrieval, December 1998
Retrieval, December 1998
Pages
1-12
Files
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