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| Paper Abstract and Keywords | ||
| Presentation | 2016-08-25 13:10 Pronunciation Error Detection using DNN Articulatory Model based on Transfer Learning Richeng Duan, Tatsuya Kawahara, Masatake Dantsuji (Kyoto Univ.)  SP2016-39 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Aiming at detecting pronunciation errors produced by second language learners and providing corrective feedbacks related with articulation, we address effective articulatory models based on deep neural network (DNN). Articulatory attributes are defined for manner and place of articulation. In order to efficiently train these models of non-native speech without using such data, which is difficult to collect in a large scale, we propose to exploit large speech corpora of native and target language to model inter-language phenomena. We also investigate closely-related secondary tasks which aim at effective learning of DNN articulatory models. These methods are applied to Mandarin Chinese pronunciation learning by Japanese native speakers. Effects of these methods are confirmed in the native attribute classification and pronunciation error detection of non-native speech. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CAPT / Pronunciation Error Detection / Articulation Modeling / Transfer Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 189, SP2016-39, pp. 65-70, Aug. 2016. | |
| Paper # | SP2016-39 | |
| Date of Issue | 2016-08-17 (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) | |
| Download PDF | SP2016-39 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2016-08-24 - 2016-08-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | ACCMS, Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Audio event processing, etc. |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2016-08-SP |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pronunciation Error Detection using DNN Articulatory Model based on Transfer Learning |
| Sub Title (in English) | |
| Keyword(1) | CAPT |
| Keyword(2) | Pronunciation Error Detection |
| Keyword(3) | Articulation Modeling |
| Keyword(4) | Transfer Learning |
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| Keyword(8) | |
| 1st Author's Name | Richeng Duan |
| 1st Author's Affiliation | Kyoto university (Kyoto Univ.) |
| 2nd Author's Name | Tatsuya Kawahara |
| 2nd Author's Affiliation | Kyoto university (Kyoto Univ.) |
| 3rd Author's Name | Masatake Dantsuji |
| 3rd Author's Affiliation | Kyoto university (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-08-25 13:10:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | SP2016-39 |
| Volume (vol) | vol.116 |
| Number (no) | no.189 |
| Page | pp.65-70 |
| #Pages | 6 |
| Date of Issue | 2016-08-17 (SP) |
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