5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Speaking-Style Dependent Lexicalized Filler Model for Key-Phrase Detection and Verification

Tatsuya Kawahara (1), Kentaro Ishizuka (1), Shuji Doshita (1), Chin-Hui Lee (2)

(1) Kyoto University, Japan
(2) Bell Laboratories, USA

A task-independent filler modeling for robust key-phrase detection and verification is proposed. Instead of assuming task-specific lexical knowledge, our model is designed to characterize phrases depending on the speaking-style, thus can be trained with large corpora of different but similar tasks. We present two implementations of the portable and general model. The dialogue-style dependent model trained with the ATIS corpus is used as a filler and shown to be effective in detection-based speech understanding on different dialogue applications. The lecture-style dependent filler model trained with transcriptions of various oral presentations also improves the verification of key-phrases uttered during lectures.

Full Paper

Bibliographic reference.  Kawahara, Tatsuya / Ishizuka, Kentaro / Doshita, Shuji / Lee, Chin-Hui (1998): "Speaking-style dependent lexicalized filler model for key-phrase detection and verification", In ICSLP-1998, paper 0761.