Presentation 1997/12/12
Speaking-Style Dependent Lexicalized Filler Model for Key-Phrase Detection and Verification
Tatsuya Kawahara, Kentaro Ishizuka, Shuji Doshita, Chin-Hui Lee,
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Abstract(in English) 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.
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Keyword(in English) speech recognition / word spotting / utterance verification / key-phrase detection / speech understanding
Paper # NLC97-45
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Committee NLC
Conference Date 1997/12/12(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speaking-Style Dependent Lexicalized Filler Model for Key-Phrase Detection and Verification
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) word spotting
Keyword(3) utterance verification
Keyword(4) key-phrase detection
Keyword(5) speech understanding
1st Author's Name Tatsuya Kawahara
1st Author's Affiliation Dept. of Information Science Kyoto University()
2nd Author's Name Kentaro Ishizuka
2nd Author's Affiliation Dept. of Information Science Kyoto University
3rd Author's Name Shuji Doshita
3rd Author's Affiliation Dept. of Information Science Kyoto University
4th Author's Name Chin-Hui Lee
4th Author's Affiliation Dept. of Information Science Kyoto University
Date 1997/12/12
Paper # NLC97-45
Volume (vol) vol.97
Number (no) 440
Page pp.pp.-
#Pages 6
Date of Issue