Presentation 1996/12/13
Performance Improvement of Dialogue Speech Recognition Method Using Syntactic Rules and Preterminal Bigrams
Toshiyuki Takezawa, Tsuyoshi Morimoto,
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Abstract(in English) We are studying a CFG-based speech parser that outputs scored subtree sequences. In order to deal with spontaneous speech, the syntactic rules are written to parse subtrees rather than sentences. Bigrams of preterminal symbols are used during beam search. We previously conducted pause unitbased experiments and have confirmed that our method yields good performance. In this paper, we report on two kinds of performance improvement; i.e., the dictionary access improvement and the improvement of beam search. We also discuss ways to deal with more than one pause unit.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Continuous speech recognition / spoken language processing / integrated processing of speech and language / syntactic rules / partial trees, statistical language modeling
Paper # NLC96-53,SP96-84
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Committee NLC
Conference Date 1996/12/13(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) Performance Improvement of Dialogue Speech Recognition Method Using Syntactic Rules and Preterminal Bigrams
Sub Title (in English)
Keyword(1) Continuous speech recognition
Keyword(2) spoken language processing
Keyword(3) integrated processing of speech and language
Keyword(4) syntactic rules
Keyword(5) partial trees, statistical language modeling
1st Author's Name Toshiyuki Takezawa
1st Author's Affiliation ATR Interpreting Telecommunications Research Laboratories()
2nd Author's Name Tsuyoshi Morimoto
2nd Author's Affiliation ATR Interpreting Telecommunications Research Laboratories
Date 1996/12/13
Paper # NLC96-53,SP96-84
Volume (vol) vol.96
Number (no) 420
Page pp.pp.-
#Pages 8
Date of Issue