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| Presentation | 2019-06-13 13:30 A study on style transplantation modeling techniques for DNN-based speech synthesis Yoshiki Hiruta (Tokyo Tech), Tomoki Koriyama (The Univ. of Tokyo), Yuuki Tachioka (Denso IT Lab), Takao Kobayashi (Tokyo Tech)  SP2019-1 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper investigates style transplantation modeling techniques for DNN-based statistical parametric speech synthesis. The problem treated here is to generate expressive speech of a given target speaker with only using a small amount of his/her reading style speech data. For this purpose, we propose two models, which utilize i-vector as an input to DNN. The basic idea of the proposed modeling framework is to construct an acoustic model which can control voice characteristics and emotional expression and/or speaking style using multi speaker’s expressive speech data. In the proposed framework, the i-vector is used to control voice characteristics of the synthetic speech. Through objective and subjective evaluation experiments we compare the performance of the proposed style trans- plantation modeling techniques with the conventional ones in which a speaker code represented by one-hot vector is used as an input to DNN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | DNN-based speech synthesis / style transplant / i-vector / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 80, SP2019-1, pp. 1-6, June 2019. | |
| Paper # | SP2019-1 | |
| Date of Issue | 2019-06-06 (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 | SP2019-1 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2019-06-13 - 2019-06-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2019-06-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on style transplantation modeling techniques for DNN-based speech synthesis |
| Sub Title (in English) | |
| Keyword(1) | DNN-based speech synthesis |
| Keyword(2) | style transplant |
| Keyword(3) | i-vector |
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| 1st Author's Name | Yoshiki Hiruta |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name | Tomoki Koriyama |
| 2nd Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 3rd Author's Name | Yuuki Tachioka |
| 3rd Author's Affiliation | Denso IT Laboratory (Denso IT Lab) |
| 4th Author's Name | Takao Kobayashi |
| 4th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
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| Speaker | Author-1 |
| Date Time | 2019-06-13 13:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | SP2019-1 |
| Volume (vol) | vol.119 |
| Number (no) | no.80 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2019-06-06 (SP) |
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