Presentation 1995/12/14
Spontaneous Dialogue Speech Recognition using Cross-Word context Constrained Word Graph
Tohru Shimizu, Hirofumi Yamamoto, Shoichi Matsunaga, Yoshinori Sagisaka,
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Abstract(in English) This paper proposes a large vocabulary spontaneous dialogue speech recognizer using cross-word context constrained word graphs. In this method, two approximation methods "cross-word context approximation" and "lenient language score smearing" are introduced to reduce the computational cost for word graph generation. The experimental results using a "travel planning corpus" show that this recognition method achieves a word hypotheses reduction of 25-40% and cpu-time reduction of 30-60% compared to no approximation, and that the use of class bigram scores as the expected language score for each lexicon tree node decreases the 25-30% of word error rate compared to no approximation.
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Keyword(in English) Continuous Speech Recognition / Search method / Word graph / Lexicon tree
Paper # NLC95-53,SP95-88
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Committee NLC
Conference Date 1995/12/14(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spontaneous Dialogue Speech Recognition using Cross-Word context Constrained Word Graph
Sub Title (in English)
Keyword(1) Continuous Speech Recognition
Keyword(2) Search method
Keyword(3) Word graph
Keyword(4) Lexicon tree
1st Author's Name Tohru Shimizu
1st Author's Affiliation ATR Interpreting Telecommunications Research Laboratories()
2nd Author's Name Hirofumi Yamamoto
2nd Author's Affiliation ATR Interpreting Telecommunications Research Laboratories
3rd Author's Name Shoichi Matsunaga
3rd Author's Affiliation ATR Interpreting Telecommunications Research Laboratories
4th Author's Name Yoshinori Sagisaka
4th Author's Affiliation ATR Interpreting Telecommunications Research Laboratories
Date 1995/12/14
Paper # NLC95-53,SP95-88
Volume (vol) vol.95
Number (no) 428
Page pp.pp.-
#Pages 6
Date of Issue