Presentation 2000/12/15
Speech Understanding Based on Key-Phrase Spotting and Combined Language Models
Hiroaki Kashima, Tatsuya Kawahara,
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Abstract(in English) We propose combined N-gram models and descriptive grammars used in key-phrases spotting for robust speech understanding. We apply task dependent descriptive grammars to inside of key-phrases and word bigram models trained on similar task dialogue corpus to others. The combined language models for whole of sentence improve the accuracy in detecting key-phrases. Furthermore connecting key-phrase hypotheses based on inter key-phrases grammars realize robust speech understanding. The proposed approach was tested on data collected from realworld dialogue system on hotel retrieval task. The speech understanding strategy improves the accuracy in handling both in-grammar and out-of-grammar utterances over the conventional decoding approaches.
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Keyword(in English) dialogue system / speech understanding / key-phrase spotting / descriptive grammar / word N-gram
Paper # NLC2000-66,SP2000-114
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Committee NLC
Conference Date 2000/12/15(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speech Understanding Based on Key-Phrase Spotting and Combined Language Models
Sub Title (in English)
Keyword(1) dialogue system
Keyword(2) speech understanding
Keyword(3) key-phrase spotting
Keyword(4) descriptive grammar
Keyword(5) word N-gram
1st Author's Name Hiroaki Kashima
1st Author's Affiliation School of Informatics, Kyoto University()
2nd Author's Name Tatsuya Kawahara
2nd Author's Affiliation School of Informatics, Kyoto University
Date 2000/12/15
Paper # NLC2000-66,SP2000-114
Volume (vol) vol.100
Number (no) 521
Page pp.pp.-
#Pages 6
Date of Issue