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| Presentation | 2016-12-20 15:10 [Poster Presentation] Fast algorithm for statistical phrase/accent command estimation based on generative model incorporating spectral features Ryotaro Sato (The Univ. of Tokyo), Hirokazu Kameoka, Kunio Kashino (NTT)  SP2016-56 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | On the basis of the Fujisaki model, we propose a fast algorithm for estimating the model parameters, namely, the timings and magnitudes of the phrase and accent commands. We propose a hard expectation-maximization (EM) algorithm for parameter inference where the E step of the conventional method is replaced with a point estimation procedure to accelerate the estimation process. We also add a generative process of a spectral feature sequence to the generative model to improve the parameter estimation accuracy by using phonological information as an additional clue. The experiments confirmed that the present algorithm was 16 times faster and estimated parameters about 3% more acculately than the conventional algorithm. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | voice fundamental frequency contour estimation / Fujisaki model / prosodic information processing / EM algorithm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 378, SP2016-56, pp. 43-48, Dec. 2016. | |
| Paper # | SP2016-56 | |
| Date of Issue | 2016-12-13 (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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | SP2016-56 |
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| Conference Information | |
| Committee | SP IPSJ-SLP NLC IPSJ-NL |
| Conference Date | 2016-12-20 - 2016-12-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NTT Musashino R&D |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 18th Spoken Language Symposium & The Third Natural Language Processing Symposium |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2016-12-SP-SLP-NLC-NL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fast algorithm for statistical phrase/accent command estimation based on generative model incorporating spectral features |
| Sub Title (in English) | |
| Keyword(1) | voice fundamental frequency contour estimation |
| Keyword(2) | Fujisaki model |
| Keyword(3) | prosodic information processing |
| Keyword(4) | EM algorithm |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Ryotaro Sato |
| 1st Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 2nd Author's Name | Hirokazu Kameoka |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Kunio Kashino |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2016-12-20 15:10:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | SP2016-56 |
| Volume (vol) | vol.116 |
| Number (no) | no.378 |
| Page | pp.43-48 |
| #Pages | 6 |
| Date of Issue | 2016-12-13 (SP) |
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