Presentation 2001/12/13
Modeling of Stressed Syllables for their Detection in English Sentences to Develop an English Rhythm Learning System
Satoshi KOBASHIKAWA, Nobuaki MINEMATSU, Keikichi HIROSE, Donna ERICKSON,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Current globalization requires Japanese people to speak English with correct pronunciation. To acquire this ability efficiently, they need to master generating English rhythm with positioning appropriate stressed syllables. With the aim of developing an English rhythm learning system for Japanese learners, in this paper we proposed methods to model stressed/unstressed syllables in English sentences, where relative differences in prosodic features between two adjacent syllables and vowel-based modeling in addition to a syllable-badsed one were investigated.In experiments, with the previously proposed modeling method, about 91% accuracy was obtained as baseline in the speaker-closed/text-open condition. When using other speakers, approximately 80% and 70% accuracy was obtained respectively with native speakers and Japanese ones. The proposed methods showed that, in the speaker-open/text-open condition, 5% relative improvement was obtained by using the relative differences between two consecutive syllables and 8% improvement was observed for Japanese speakers by using the vowel-based modeling.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) English rhythm / stressed syllable / HMM / English CAI
Paper # NLC2001-65,SP2001-100
Date of Issue

Conference Information
Committee NLC
Conference Date 2001/12/13(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) Modeling of Stressed Syllables for their Detection in English Sentences to Develop an English Rhythm Learning System
Sub Title (in English)
Keyword(1) English rhythm
Keyword(2) stressed syllable
Keyword(3) HMM
Keyword(4) English CAI
1st Author's Name Satoshi KOBASHIKAWA
1st Author's Affiliation Graduate School of Engineering, University of Tokyo()
2nd Author's Name Nobuaki MINEMATSU
2nd Author's Affiliation Graduate School of Information Science and Technology, University of Tokyo
3rd Author's Name Keikichi HIROSE
3rd Author's Affiliation Graduate School of Frontier Sciences, University of Tokyo
4th Author's Name Donna ERICKSON
4th Author's Affiliation Gifu City Women's College
Date 2001/12/13
Paper # NLC2001-65,SP2001-100
Volume (vol) vol.101
Number (no) 520
Page pp.pp.-
#Pages 6
Date of Issue