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Paper Abstract and Keywords
Presentation 2019-12-12 17:00
Crosslingual Emotion Recognition using English and Japanese Speech Data
Yuta Nirasawa, Atom Scotto, Ryota Sakuma, Yuki Hujita, Keiich Zempo (Tsukuba Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Since reasearch in Speech Emotion Recognition(SER) is performed with mostly English data, applying these models to Japanese SER is difficult. Therefore, in this paper, we create new Japanese data set(XperDES) labelled with 8 emotions of “neutral, gentle, happy, sad, angry, horrible, disgust, and surprise”. We show a convectional neural network trained with XperDES is superior to a model using an existing English SER data set(RAVDESS). Moreover, we also find a further improvement in accuracy (+ 4.2%) leveraging both RAVDESS and XperDES.
Keyword (in Japanese) (See Japanese page) 
(in English) Emotional Estimation by Voice / Japanese Speech Data / Convolutional Neural Networks / / / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2019-12-11 - 2019-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima-ken Joho Plaza (Hiroshima) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) HCG Symposium 2019 
Paper Information
Registration To HCGSYMPO 
Conference Code 2019-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Crosslingual Emotion Recognition using English and Japanese Speech Data 
Sub Title (in English)  
Keyword(1) Emotional Estimation by Voice  
Keyword(2) Japanese Speech Data  
Keyword(3) Convolutional Neural Networks  
1st Author's Name Yuta Nirasawa  
1st Author's Affiliation University of Tsukuba (Tsukuba Univ.)
2nd Author's Name Atom Scotto  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
3rd Author's Name Ryota Sakuma  
3rd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
4th Author's Name Yuki Hujita  
4th Author's Affiliation University of Tsukuba (Tsukuba Univ.)
5th Author's Name Keiich Zempo  
5th Author's Affiliation University of Tsukuba (Tsukuba Univ.)
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Speaker Author-1 
Date Time 2019-12-12 17:00:00 
Presentation Time 75 minutes 
Registration for HCGSYMPO 
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