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| Presentation | 2017-01-21 15:10 A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network Fumiaki Taguchi, Tokihiko Kaburagi (Kyushu Univ.)  SP2016-73 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents a method for estimating time series of the acoustic property of the vocal tract expressed by line spectral frequencies from the movement trajectory of the articulatory organs observed with a magnetic sensor (EMA). Statistical methods have been used thus far for the articulatory-to-acoustic mapping because of the difficulty in modeling the relationship between both parameters physically. In this study, articulatory-to-acoustic mapping was constructed by using deep neural network, more specifically a multilayer perceptron, for which effectiveness has been confirmed in various problems. Experimental results showed that the cepstrum error in our estimation method was 3.39 dB when mngu0 dataset was used. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | articulatory movement / vocal tract spectrum / DNN / articulatory-to-acoustic mapping / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 414, SP2016-73, pp. 53-57, Jan. 2017. | |
| Paper # | SP2016-73 | |
| Date of Issue | 2017-01-14 (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) | |
| Download PDF | SP2016-73 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2017-01-21 - 2017-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The University of Tokyo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Synthesis, Generation, Prosody, etc. |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2017-01-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network |
| Sub Title (in English) | |
| Keyword(1) | articulatory movement |
| Keyword(2) | vocal tract spectrum |
| Keyword(3) | DNN |
| Keyword(4) | articulatory-to-acoustic mapping |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Fumiaki Taguchi |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Tokihiko Kaburagi |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-01-21 15:10:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | SP2016-73 |
| Volume (vol) | vol.116 |
| Number (no) | no.414 |
| Page | pp.53-57 |
| #Pages | 5 |
| Date of Issue | 2017-01-14 (SP) |
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