Paper Abstract and Keywords |
Presentation |
2020-02-28 15:25
Make Your Presentation Better: Oral Presentation Support System using Linguistic and Acoustic Features Shengzhou Yi (UTokyo), Takuya Yamamoto, Osamu Yamamoto, Yukiyoshi Katsumizu, Hiroshi Yumoto (P&I), Xueting Wang, Toshihiko Yamasaki (UTokyo) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to help presenters to improve their oral presentation skills, we propose a support system to provide impression-related feedbacks. Our support system includes two parts: 1) a presentation impression prediction system to tell presenters how audiences feel about their presentations, and 2) a presentation slide analysis system to tell presenters whether the slide designs are good and how to improve (if necessary). For the presentation impression prediction system, we propose a multimodal neural network to predict audiences’ impressions for speech videos. For the slide analysis system, we used Convolutional Neural Network and Global Average Pooling to evaluate the design of slides. We then used Class Activation Mapping to provide visual feedback for showing which areas should be modified. We created an oral presentation support system, which effectively achieved these functions. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Presentation Analysis / Slide Analysis / Multimodal Neural Network / End-to-End System / TED Talks / / / |
Reference Info. |
ITE Tech. Rep. |
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Conference Information |
Committee |
HI IEICE-IE IEICE-ITS MMS ME AIT |
Conference Date |
2020-02-27 - 2020-02-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processing, etc. |
Paper Information |
Registration To |
IEICE-IE |
Conference Code |
2020-02-HI-IE-ITS-MMS-ME-AIT |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Make Your Presentation Better: Oral Presentation Support System using Linguistic and Acoustic Features |
Sub Title (in English) |
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Keyword(1) |
Presentation Analysis |
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Slide Analysis |
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Multimodal Neural Network |
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End-to-End System |
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TED Talks |
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1st Author's Name |
Shengzhou Yi |
1st Author's Affiliation |
The University of Tokyo (UTokyo) |
2nd Author's Name |
Takuya Yamamoto |
2nd Author's Affiliation |
P&I Information Engineering Co., Ltd. (P&I) |
3rd Author's Name |
Osamu Yamamoto |
3rd Author's Affiliation |
P&I Information Engineering Co., Ltd. (P&I) |
4th Author's Name |
Yukiyoshi Katsumizu |
4th Author's Affiliation |
P&I Information Engineering Co., Ltd. (P&I) |
5th Author's Name |
Hiroshi Yumoto |
5th Author's Affiliation |
P&I Information Engineering Co., Ltd. (P&I) |
6th Author's Name |
Xueting Wang |
6th Author's Affiliation |
The University of Tokyo (UTokyo) |
7th Author's Name |
Toshihiko Yamasaki |
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The University of Tokyo (UTokyo) |
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Speaker |
Author-1 |
Date Time |
2020-02-28 15:25:00 |
Presentation Time |
15 minutes |
Registration for |
IEICE-IE |
Paper # |
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Volume (vol) |
vol.44 |
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