Presentation 2018-03-19
[Poster Presentation] Quantitative and corpus-based analysis of pronunciation diversity observed in Japanese English
Suguru Kabashima, Haoyu Zhang, Daisuke Saito, Nobuaki Minematsu, Satoshi Kobashikawa, Ryo Masumura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In foreign language teaching, corrective feedback to learners' pronunciation is regardedas highly important and automatic feedback generation has been investigated usingspeech technologies. For development, learners' pronunciation diversity or errors have tobe modeled adequately in advance. In this paper, based on a Japanese-English (JE) speechcorpus with detailed phonetic transcription, pronunciation diversity of JE is quantitativelyanalyzed and modeled. In the corpus, read sentences, phonemic sequences that are aimed by learners, and phonetic transcriptions of their speech are contained. Using these, a model is built with a G2P toolkit, phonetisaurus, to predict phonemic sequencesthat will be perceived bynative listeners when they listen to any words pronounced by Japanese learners. Further, their pronunciation diversity is evaluated in terms of perplexity. Similar investigation is possible by using pronunciation alternation rules providedby expert teachers. The proposed model is compared to a model based on experts'rules and it is demonstrated that the former is by far a more compact model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) foreign language teaching / modeling pronunciation diversity / phonetic transcription / G2P / pronunciation preplexity
Paper # EA2017-113,SIP2017-122,SP2017-96
Date of Issue 2018-03-12 (EA, SIP, SP)

Conference Information
Committee SIP / EA / SP / MI
Conference Date 2018/3/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI]
Chair Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.)
Vice Chair Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.)
Assistant Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Quantitative and corpus-based analysis of pronunciation diversity observed in Japanese English
Sub Title (in English)
Keyword(1) foreign language teaching
Keyword(2) modeling pronunciation diversity
Keyword(3) phonetic transcription
Keyword(4) G2P
Keyword(5) pronunciation preplexity
1st Author's Name Suguru Kabashima
1st Author's Affiliation The University of Tokyo(Univ. of Tokyo)
2nd Author's Name Haoyu Zhang
2nd Author's Affiliation The University of Tokyo(Univ. of Tokyo)
3rd Author's Name Daisuke Saito
3rd Author's Affiliation The University of Tokyo(Univ. of Tokyo)
4th Author's Name Nobuaki Minematsu
4th Author's Affiliation The University of Tokyo(Univ. of Tokyo)
5th Author's Name Satoshi Kobashikawa
5th Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
6th Author's Name Ryo Masumura
6th Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
Date 2018-03-19
Paper # EA2017-113,SIP2017-122,SP2017-96
Volume (vol) vol.117
Number (no) EA-515,SIP-516,SP-517
Page pp.pp.69-74(EA), pp.69-74(SIP), pp.69-74(SP),
#Pages 6
Date of Issue 2018-03-12 (EA, SIP, SP)