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| Presentation | 2017-11-24 13:50 Analyses of Neural Language Model and Its Application to Transformation of Individuality in Speech Tatsuya Takeuchi, Masafumi Hagiwara (Keio Univ.)  NC2017-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this research, we aim to convert the output indirectly by changing the internal state of the neural language model used in a dialogue system, and to change the individuality of the dialogue system. In the process of dimension reduction and conversion into an embedding vector, we acquire the value of the generated embedding vector, and analyze the relationship with the output sentence. At the same time, we propose a system which converts specific words in a sentence by using the feature value obtained. In the proposed system, we used the encoder - decoder model to obtain the differences between the embedding vectors of the input sentences when only specific words were converted, and analyzed them. As a result, characteristic values were confirmed in the vector difference. In addition, we transformed the embedding vector in the middle layer using the difference, and it was shown that some changes occurred in the output sentences. Evaluation experiments confirmed that it is possible to change the individuality of the dialog system using the conversion. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural Language Model / Transformation of Individuality in Speech / Long short-term memory / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 325, NC2017-29, pp. 13-18, Nov. 2017. | |
| Paper # | NC2017-29 | |
| Date of Issue | 2017-11-17 (NC) | |
| 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 | NC2017-29 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2017-11-24 - 2017-11-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | BCI/BMI, generall |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2017-11-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analyses of Neural Language Model and Its Application to Transformation of Individuality in Speech |
| Sub Title (in English) | |
| Keyword(1) | Neural Language Model |
| Keyword(2) | Transformation of Individuality in Speech |
| Keyword(3) | Long short-term memory |
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| 1st Author's Name | Tatsuya Takeuchi |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Masafumi Hagiwara |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-11-24 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2017-29 |
| Volume (vol) | vol.117 |
| Number (no) | no.325 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2017-11-17 (NC) |
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