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Paper Abstract and Keywords
Presentation 2015-05-21 15:20
A study on speaker conversion using speech and expression features for video chatting
Yuuki Saito, Takashi Nose (Tohoku Univ.), Takahiro Shinozaki (Tokyo Institute of Technology), Akinori Ito (Tohoku Univ.) IT2015-9 EMM2015-9
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we suggest two method that the individuality of the face of original speaker convert that of target speaker. In the method 1, in advance we prepare the speech data of original and target speaker for learning data, then we extract the audio feature value and face image feature value from it. The face image feature value is the thing that apply principal component analysis to pixel data and reduce dimention.
In the method 2, in advance we record the face image of target speaker, then extract the face expression feature value and face image feature value from it. We use Animation Unit parameter as the face expression feature value, and the face image feature value is the same as the method 1.
In these methods, We used the feature values for neural network learning, and converted feature values using it.
As a result, in the method 1, we could convert general form of the face well, but couldn't convert mouth movement.
In the method 2, we could convert general form of the face and mouth movement in some degree, but the quality of face image was deteriorated.
Keyword (in Japanese) (See Japanese page) 
(in English) speaker conversion / face conversion / neural network / principal component analysis / Kinect v2 / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 38, EMM2015-9, pp. 45-50, May 2015.
Paper # EMM2015-9 
Date of Issue 2015-05-14 (IT, EMM) 
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 IT2015-9 EMM2015-9

Conference Information
Committee EMM IT  
Conference Date 2015-05-21 - 2015-05-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto International Community House 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Security, Information Theory, Information Hiding, etc. 
Paper Information
Registration To EMM 
Conference Code 2015-05-EMM-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on speaker conversion using speech and expression features for video chatting 
Sub Title (in English)  
Keyword(1) speaker conversion  
Keyword(2) face conversion  
Keyword(3) neural network  
Keyword(4) principal component analysis  
Keyword(5) Kinect v2  
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1st Author's Name Yuuki Saito  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Takashi Nose  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Takahiro Shinozaki  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Institute of Technology)
4th Author's Name Akinori Ito  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2015-05-21 15:20:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # IT2015-9, EMM2015-9 
Volume (vol) vol.115 
Number (no) no.37(IT), no.38(EMM) 
Page pp.45-50 
#Pages 6 
Date of Issue 2015-05-14 (IT, EMM) 

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