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| Presentation | 2018-03-19 13:00 [Poster Presentation] An Experimental Study on Segmental and Prosodic Comparison of Utterances for Automatic Assessment of Dubbing Speech Takuya Ozuru, Nobuaki Minematsu, Daisuke Saito (Univ. of Tokyo)  EA2017-114 SIP2017-123 SP2017-97 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In Japanese language education, especially in its speech training, dubbing-based training has gained a huge popularity. In this paper, novel techniques toward automatic assessment of dubbing speech are proposed based on segmental and prosodic comparison of a model utterance and a learner’s utterance. The proposed techniques can detect and feed back the segments that contain segmental or prosodic gaps between the two utterances. Here, a special attention was paid to robustness of comparison. Between a model speaker and a learner, age and gender are often different and results of comparison should be independent of acoustic differences found in their voices due to these factors. Prosodic comparison requires pitch pattern comparison between two utterances. However, extraction of F0 often induces extraction errors. To avoid this, an error-free algorithm for prosodic comparison is proposed. In this paper, a main focus is put on the error-free prosodic comparison. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Speech training of Japanese / Dubbing assessment / Utterance comparison / Segmental and prosodic aspects / Robustness / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 517, SP2017-97, pp. 75-80, March 2018. | |
| Paper # | SP2017-97 | |
| 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) | |
| Download PDF | EA2017-114 SIP2017-123 SP2017-97 |
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| 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) | An Experimental Study on Segmental and Prosodic Comparison of Utterances for Automatic Assessment of Dubbing Speech |
| Sub Title (in English) | |
| Keyword(1) | Speech training of Japanese |
| Keyword(2) | Dubbing assessment |
| Keyword(3) | Utterance comparison |
| Keyword(4) | Segmental and prosodic aspects |
| Keyword(5) | Robustness |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takuya Ozuru |
| 1st Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Nobuaki Minematsu |
| 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) |
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| Speaker | Author-1 |
| Date Time | 2018-03-19 13:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | EA2017-114, SIP2017-123, SP2017-97 |
| Volume (vol) | vol.117 |
| Number (no) | no.515(EA), no.516(SIP), no.517(SP) |
| Page | pp.75-80 |
| #Pages | 6 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
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