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Paper Abstract and Keywords
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
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
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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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  
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 
Date of Issue 2017-11-17 (NC) 

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