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| Presentation | 2014-11-13 16:55 Emphasized Accent Phrase Prediction from Advertisement Text towards Expressive Text-to-speech Synthesis Hideharu Nakajima, Hideyuki Mizuno, Sumitaka Sakauchi (NTT)  SP2014-95 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Realizing Expressive Text-to-speech synthesis needs developments of both text processing and the rendering of natural expressive speech. This paper focuses on the former as a front-end task in the production of synthetic speech, and investigates a novel method for predicting emphasized accent phrases from advertisement text information. For this purpose, we examine features that can be accurately extracted by text processing based on current Text-to-speech synthesis technologies. Among features, the word surface string of the main content and function words and the part-of-speech of main function words in an accent phrase are found to have higher potential on predicting whether the accent phrase should be emphasized or not through the calculation of mutual information between emphasis label and features of Japanese advertisement sentences. Experiments confirm that emphasized accent phrase prediction using support vector machine (SVM) offers encouraging accuracies for the system which requires emphasized accent phrase locations as a context information to improve speech synthesis qualities. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | expressive text-to-speech synthesis / text processing / emphasis prediction / accent phrase / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 303, SP2014-95, pp. 31-36, Nov. 2014. | |
| Paper # | SP2014-95 | |
| Date of Issue | 2014-11-06 (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) | |
| Download PDF | SP2014-95 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2014-11-13 - 2014-11-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Univ. Chikushi Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2014-11-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Emphasized Accent Phrase Prediction from Advertisement Text towards Expressive Text-to-speech Synthesis |
| Sub Title (in English) | |
| Keyword(1) | expressive text-to-speech synthesis |
| Keyword(2) | text processing |
| Keyword(3) | emphasis prediction |
| Keyword(4) | accent phrase |
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| 1st Author's Name | Hideharu Nakajima |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Hideyuki Mizuno |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Sumitaka Sakauchi |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2014-11-13 16:55:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | SP2014-95 |
| Volume (vol) | vol.114 |
| Number (no) | no.303 |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2014-11-06 (SP) |
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