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| Presentation | 2021-03-03 17:10 An investigation of rhythm-based speaker embeddings for phoneme duration modeling Kenichi Fujita, Atsushi Ando, Yusuke Ijima (NTT)  EA2020-77 SIP2020-108 SP2020-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we propose a speaker embedding method suitable for modeling phoneme duration length for each individual in speech synthesis. Conventional methods for generating speaker embedding vectors, such as x-vector and i-vector, use spectral features such as mel spectrograms. However, spectral features do not clearly include temporal features such as speech rhythms. Therefore, those vectors can discard individual speech rhythms. In this paper, we propose a method for generating speaker embedding vectors based on temporal features using phonemes and their durations. From the results of speaker recognition experiments and speaker vector distributions, we show that the proposed method shows a certain degree of accuracy in speaker recognition and that similar speaker embedding vectors are generated from speakers with similar phoneme durations. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | speaker embedding / phoneme duration / speech synthesis / speaking rhythm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 399, SP2020-42, pp. 103-108, March 2021. | |
| Paper # | SP2020-42 | |
| Date of Issue | 2021-02-24 (EA, SIP, 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 | EA2020-77 SIP2020-108 SP2020-42 |
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| Conference Information | |
| Committee | EA US SP SIP IPSJ-SLP |
| Conference Date | 2021-03-03 - 2021-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, Ultrasonics, and Related Topics |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2021-03-EA-US-SP-SIP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An investigation of rhythm-based speaker embeddings for phoneme duration modeling |
| Sub Title (in English) | |
| Keyword(1) | speaker embedding |
| Keyword(2) | phoneme duration |
| Keyword(3) | speech synthesis |
| Keyword(4) | speaking rhythm |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Kenichi Fujita |
| 1st Author's Affiliation | Nippon Telegraph and Telephone corporation (NTT) |
| 2nd Author's Name | Atsushi Ando |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone corporation (NTT) |
| 3rd Author's Name | Yusuke Ijima |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2021-03-03 17:10:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | EA2020-77, SIP2020-108, SP2020-42 |
| Volume (vol) | vol.120 |
| Number (no) | no.397(EA), no.398(SIP), no.399(SP) |
| Page | pp.103-108 |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (EA, SIP, SP) |
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