Paper Abstract and Keywords |
Presentation |
2018-03-19 13:00
[Poster Presentation]
Quantitative and corpus-based analysis of pronunciation diversity observed in Japanese English Suguru Kabashima, Haoyu Zhang, Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo), Satoshi Kobashikawa, Ryo Masumura (NTT) EA2017-113 SIP2017-122 SP2017-96 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In foreign language teaching, corrective feedback to learners' pronunciation is regarded
as highly important and automatic feedback generation has been investigated using
speech technologies. For development, learners' pronunciation diversity or errors have to
be modeled adequately in advance. In this paper, based on a Japanese-English (JE) speech
corpus with detailed phonetic transcription, pronunciation diversity of JE is quantitatively
analyzed 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 sequences
that will be perceived by
native 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 provided
by 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) |
(in English) |
foreign language teaching / modeling pronunciation diversity / phonetic transcription / G2P / pronunciation preplexity / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 517, SP2017-96, pp. 69-74, March 2018. |
Paper # |
SP2017-96 |
Date of Issue |
2018-03-12 (EA, SIP, SP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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EA2017-113 SIP2017-122 SP2017-96 |
Conference Information |
Committee |
SIP EA SP MI |
Conference Date |
2018-03-19 - 2018-03-20 |
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] |
Paper Information |
Registration To |
SP |
Conference Code |
2018-03-SIP-EA-SP-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
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 |
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Keyword(7) |
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Keyword(8) |
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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) |
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Speaker |
1 |
Date Time |
2018-03-19 13:00:00 |
Presentation Time |
90 |
Registration for |
SP |
Paper # |
EA2017-113, SIP2017-122, SP2017-96 |
Volume (vol) |
117 |
Number (no) |
no.515(EA), no.516(SIP), no.517(SP) |
Page |
pp.69-74 |
#Pages |
6 |
Date of Issue |
2018-03-12 (EA, SIP, SP) |
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