A study on an implicit health-monitoring technique through the dialog with a speech assistant
| Project/Area Number |
18K18136
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 61060:Kansei informatics-related
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| Research Institution | Tohoku University |
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Principal Investigator |
CHIBA Yuya 東北大学, 工学研究科, 助教 (30780936)
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| Project Period (FY) |
2018-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | ユーザ状態推定 / 音声感情認識 / 音声対話システム / ヘルスケア / 音声情報処理 / ユーザ評価 / マルチモーダル対話システム / パラ言語情報処理 / マルチモーダル情報処理 / 健康状態推定 |
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| Outline of Final Research Achievements |
In this study, we examined estimation methods of user's emotion by using acoustic non-verbal signals at first. The experimental results showed that data augmentation based on emotional speech synthesis significantly improves recognition accuracy comparing with the conventional method. Then, we proposed an approach based on multi-stream attention-based BLSTM with segmental features, and further improved the recognition performance. The proposed method obtained 73.4% of recognition accuracy, which is comparable to human evaluation (75.5 %). In addition, we examined a dialog management method prompting to use continuously. We confirmed that the difference of dialog strategies between groups of different relationships by the analysis of verbal/non-verbal information using a multimodal chat-talk corpus of human-human conversation.
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| Academic Significance and Societal Importance of the Research Achievements |
当初の目的である健康状態の推定には至らなかったものの，雑音重畳や統計的音声合成によりデータ増強を行うことでユーザ状態推定の頑健性を向上できることを示した．この手法は音声感情認識だけでなく，様々なユーザ状態推定に応用可能であるため，音声を用いたアプリケーションの多くで有用である．また，識別器の改善により音声感情認識自体も人間による判断に匹敵する性能が得られることを示した．加えて，対話型アプリケーションが継続的に使われるための言語/非言語的ふるまいの変化に関して，包括的な対話制御モデルを構築するための手がかりとなる結果を得た．
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Report
(3 results)
Research Products
(21 results)
