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| Presentation | 2018-06-28 14:40 Study of improving speech intelligibility for glossectomy patients via voice conversion with sound and lip movement. Seiya Ogino, Hiroki Murakami, Sunao Hara, Masanobu Abe (Okayama Univ.)  PRMU2018-23 SP2018-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose the multimodal voice conversion based on Deep Neural Network using audio and lip movement information for improving speech intelligibility uttered by glossectomy patients. The glossectomy patients remove more than half of their tongue, sound uttered by them contain less intelligibility compared to healthy persons. In beseline using audio information, intelligibility isn't imporved enough. Hence, we improve more by the multimodal voice conversion. The lip movement information is face feature points obtained by Microsoft Kinect v2. From the result of evaluation, proposed approach cannot improve precision of voice conversion, but can improve intelligibility compared to baseline. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | multimodal voice conversion / Deep Neural Network / glossectomy patients / speech intelligibility / Microsoft Kinect v2 / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 112, SP2018-3, pp. 7-12, June 2018. | |
| Paper # | SP2018-3 | |
| Date of Issue | 2018-06-21 (PRMU, SP) | |
| ISSN | 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 | PRMU2018-23 SP2018-3 |
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| Conference Information | |
| Committee | PRMU SP |
| Conference Date | 2018-06-28 - 2018-06-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2018-06-PRMU-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of improving speech intelligibility for glossectomy patients via voice conversion with sound and lip movement. |
| Sub Title (in English) | |
| Keyword(1) | multimodal voice conversion |
| Keyword(2) | Deep Neural Network |
| Keyword(3) | glossectomy patients |
| Keyword(4) | speech intelligibility |
| Keyword(5) | Microsoft Kinect v2 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Seiya Ogino |
| 1st Author's Affiliation | Okayama University (Okayama Univ.) |
| 2nd Author's Name | Hiroki Murakami |
| 2nd Author's Affiliation | Okayama University (Okayama Univ.) |
| 3rd Author's Name | Sunao Hara |
| 3rd Author's Affiliation | Okayama University (Okayama Univ.) |
| 4th Author's Name | Masanobu Abe |
| 4th Author's Affiliation | Okayama University (Okayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-06-28 14:40:00 |
| Presentation Time | 30 minutes |
| Registration for | SP |
| Paper # | PRMU2018-23, SP2018-3 |
| Volume (vol) | vol.118 |
| Number (no) | no.111(PRMU), no.112(SP) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2018-06-21 (PRMU, SP) |
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