Presentation 2007/12/13
Speech recognition of English spoken by Japanese native speekers using N-gram trained from generated text
Ryohei TSUTSUI, Motoyuki SUZUKI, Akinori ITO, Shozo MAKINO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Our goal is to develop a voice interactive CALL system which enables langage learners to practice words, phrases, and grammars interactively. In order to develop such a system, it is necessary to recognize learner's utterances correctly. We found that 4 or 5 states HMM works better than 3 states HMM in the case of recognition of English spoken by Japanese native speakers. Ngram language model trained from generated text achieves heigher speech recognition accuracy than FSA (Finite States Automata) language model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) speech recognition / non-native English / grammatical error
Paper # NLC2007-54,SP2007-117
Date of Issue

Conference Information
Committee NLC
Conference Date 2007/12/13(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
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 recognition of English spoken by Japanese native speekers using N-gram trained from generated text
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) non-native English
Keyword(3) grammatical error
1st Author's Name Ryohei TSUTSUI
1st Author's Affiliation Graduate school of engineering, Tohoku University()
2nd Author's Name Motoyuki SUZUKI
2nd Author's Affiliation Graduate school of engineering, Tohoku University
3rd Author's Name Akinori ITO
3rd Author's Affiliation Graduate school of engineering, Tohoku University
4th Author's Name Shozo MAKINO
4th Author's Affiliation Graduate school of engineering, Tohoku University
Date 2007/12/13
Paper # NLC2007-54,SP2007-117
Volume (vol) vol.107
Number (no) 405
Page pp.pp.-
#Pages 6
Date of Issue