Paper Abstract and Keywords |
Presentation |
2022-03-02 10:45
Evaluation of sentence-level generation in Japanese dialect speech synthesis using accent latent variables Kazuya Yufune, Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari (UTokyo) EA2021-79 SIP2021-106 SP2021-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Japanese dialect speech synthesis is useful for personalized speech synthesis systems. However, inability to prepare accent labels is an obstacle to improving the naturalness of the synthesized dialectal speeches.
In the past, we proposed an accent-label-free method to model the pitch accent of Japanese dialects as mora-level accent latent variables (ALVs) using vector quantized variational autoencoder (VQ-VAE), and we evaluated its performance for phrase-level utterances.
In this paper, we apply the same method with some modifications to sentence-level dialectal utterances and evaluate it.
The experimental evaluation showed that the ALVs can be used to model the pitch accent even of sentence-level utterances, that the proposed method can synthesize more natural pitch accents from text than the conventional one when the text analysis is accurate, and that the proposed method improves the controllability of synthesized pitch accents. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dialect speech synthesis / accent latent variable / VQ-VAE / pitch accent / latent variable / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 385, SP2021-64, pp. 96-101, March 2022. |
Paper # |
SP2021-64 |
Date of Issue |
2022-02-22 (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) |
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EA2021-79 SIP2021-106 SP2021-64 |
Conference Information |
Committee |
EA SIP SP IPSJ-SLP |
Conference Date |
2022-03-01 - 2022-03-02 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
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Paper Information |
Registration To |
SP |
Conference Code |
2022-03-EA-SIP-SP-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Evaluation of sentence-level generation in Japanese dialect speech synthesis using accent latent variables |
Sub Title (in English) |
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Keyword(1) |
Dialect speech synthesis |
Keyword(2) |
accent latent variable |
Keyword(3) |
VQ-VAE |
Keyword(4) |
pitch accent |
Keyword(5) |
latent variable |
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1st Author's Name |
Kazuya Yufune |
1st Author's Affiliation |
the University of Tokyo (UTokyo) |
2nd Author's Name |
Tomoki Koriyama |
2nd Author's Affiliation |
the University of Tokyo (UTokyo) |
3rd Author's Name |
Shinnosuke Takamichi |
3rd Author's Affiliation |
the University of Tokyo (UTokyo) |
4th Author's Name |
Hiroshi Saruwatari |
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the University of Tokyo (UTokyo) |
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Speaker |
Author-1 |
Date Time |
2022-03-02 10:45:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
EA2021-79, SIP2021-106, SP2021-64 |
Volume (vol) |
vol.121 |
Number (no) |
no.383(EA), no.384(SIP), no.385(SP) |
Page |
pp.96-101 |
#Pages |
6 |
Date of Issue |
2022-02-22 (EA, SIP, SP) |
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