Paper Abstract and Keywords |
Presentation |
2015-08-21 15:50
Performance Evaluation of Large-Scale Training Sentence Set Construction Based on Entropy in Statistical Speech Synthesis Takashi Nose (Tohoku Univ.), Yusuke Arao (DNP), Takao Kobayashi (Tokyo Tech), Komei Sugiura, Yoshinori Shiga (NICT) SP2015-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper reports the evaluation results of training sentence set construction based on entropy that we previously proposed for statistical speech synthesis. The proposed method performs sentence selection by integrating phonetic and prosodic entropy, which achieves better balances of both phonetic and prosodic contexts. In the previous study, the source text corpus for the sentence selection is relatively small, i.e., less than several hundreds of sentences. The larger corpus size should be examined for the practical speech synthesis with more natural voices. In this paper, we use more than eight thousands of utterances of a single professional speaker as the population of sentence selection and compare the performance of three methods: random selection, coverage-based selection, and the proposed entropy-based selection. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
statistical speech synthesis / sentence selection / model training / entropy / context / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 184, SP2015-57, pp. 39-44, Aug. 2015. |
Paper # |
SP2015-57 |
Date of Issue |
2015-08-14 (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) |
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SP2015-57 |
Conference Information |
Committee |
SP |
Conference Date |
2015-08-21 - 2015-08-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Iwate Prefectural Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Spoken document processing, etc. |
Paper Information |
Registration To |
SP |
Conference Code |
2015-08-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Performance Evaluation of Large-Scale Training Sentence Set Construction Based on Entropy in Statistical Speech Synthesis |
Sub Title (in English) |
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Keyword(1) |
statistical speech synthesis |
Keyword(2) |
sentence selection |
Keyword(3) |
model training |
Keyword(4) |
entropy |
Keyword(5) |
context |
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1st Author's Name |
Takashi Nose |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Yusuke Arao |
2nd Author's Affiliation |
Dai Nippon Printing Co., Ltd. (DNP) |
3rd Author's Name |
Takao Kobayashi |
3rd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech) |
4th Author's Name |
Komei Sugiura |
4th Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
5th Author's Name |
Yoshinori Shiga |
5th Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
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Speaker |
Author-1 |
Date Time |
2015-08-21 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
SP2015-57 |
Volume (vol) |
vol.115 |
Number (no) |
no.184 |
Page |
pp.39-44 |
#Pages |
6 |
Date of Issue |
2015-08-14 (SP) |
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