Mental state estimation method from conflict between text and tone of the voice
| Project/Area Number |
26330313
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Kansei informatics
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| Research Institution | Hiroshima City University |
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Principal Investigator |
MERA Kazuya 広島市立大学, 情報科学研究科, 助教 (50285425)
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| Co-Investigator(Kenkyū-buntansha) |
黒澤 義明 広島市立大学, 情報科学研究科, 助教 (50264940)
竹澤 寿幸 広島市立大学, 情報科学研究科, 教授 (90395012)
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| Research Collaborator |
Tang Ba Nhat
TAKAHASHI Takumi
UEMURA Joji
SHINMASU Yuta
TABUCHI Yuma
SUGIHARA Minoru
TANI Yuki
MURATA Yui
OKADA Atsushi
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 感情推定 / 音響分析 / マルチモーダル / 感情の食い違い / 音響的特徴 / 表情 / 感情推定手法 / 自然言語対話システム / 単語極性 / ツンデレ |
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| Outline of Final Research Achievements |
We developed emotion estimation methods from user's utterance based on acoustic features and text information. And, we constructed real-time emotion estimation system which can estimate each emotion from three types of modalities (voice, text, facial expression). At the same time, we analyzed the tendency of expressed emotions at complicate mental states like irony. Furthermore, we constructed emotional voice database for machine learning to develop our emotion estimation method using acoustic features.
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Report
(4 results)
Research Products
(11 results)
