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Paper Abstract and Keywords
Presentation 2022-02-22 13:45
DeepFake detection using video and audio
Tetsuo Uchida (TUT), Syunji Yazaki (UEC), Ishihata Hiroaki (TUT)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose three methods 1) a method using mouth images and unprocessed sounds. 2) a method using mouth images and source-separated human voices. 3) a method combining Selim's image processing part and separated human voices.
The Selim's model in a detection rate of 92.0%.
The method using mouth images and unprocessed sounds in a detection rate of 75.8%.
The method using mouth images and source-separated human voices in a detection rate of 82.0%.
The method combining Selim's image processing part and separated human voices in a detection rate of 97%.
Keyword (in Japanese) (See Japanese page) 
(in English) DeepFake / / / / / / /  
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Conference Information
Committee AIT ME MMS IEICE-IE IEICE-ITS  
Conference Date 2022-02-21 - 2022-02-22 
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Paper Information
Registration To IEICE-IE 
Conference Code 2022-02-IE-ITS-AIT-ME-MMS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DeepFake detection using video and audio 
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Keyword(1) DeepFake  
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1st Author's Name Tetsuo Uchida  
1st Author's Affiliation Tokyo University of Technology (TUT)
2nd Author's Name Syunji Yazaki  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Ishihata Hiroaki  
3rd Author's Affiliation Tokyo University of Technology (TUT)
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Speaker Author-1 
Date Time 2022-02-22 13:45:00 
Presentation Time 15 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.46 
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