Presentation 1996/12/13
Large-Vocabulary Continuous Speech Recognition Using Word Trigrams
Kotaro Yoshida, Tatsuo Matsuoka, Katsutoshi Ohtsuki, Sadaoki Furui,
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Abstract(in English) Accuracy of Large-Vocabulary Continuous Speech Recognition(LVCSR) systems depend not only on the performance of its acoustic models but also on the performance of the language models. We successfully incorporated word trigram language models to a LVCSR system for the first time in Japanese speech recognition. For a 7000-word vocabulary speaker-independent recognition task, trigram language models were trained using texts from a CD-ROM compilation of a Japanese news paper(Nikkei 1990-1994). Evaluation tests show that 44% reduction in word error rate from our previous word bigram system was achieved resulting in 90% word accuracy.
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Keyword(in English) large vocabulary continuous speech recognition / word trigram / language models
Paper # NLC96-51,SP96-82
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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) Large-Vocabulary Continuous Speech Recognition Using Word Trigrams
Sub Title (in English)
Keyword(1) large vocabulary continuous speech recognition
Keyword(2) word trigram
Keyword(3) language models
1st Author's Name Kotaro Yoshida
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Tatsuo Matsuoka
2nd Author's Affiliation NTT Human Interface Laboratories
3rd Author's Name Katsutoshi Ohtsuki
3rd Author's Affiliation NTT Human Interface Laboratories
4th Author's Name Sadaoki Furui
4th Author's Affiliation Tokyo Institute of Technology : NTT Human Interface Laboratories
Date 1996/12/13
Paper # NLC96-51,SP96-82
Volume (vol) vol.96
Number (no) 420
Page pp.pp.-
#Pages 6
Date of Issue