アブストラクト
| Title | BAYESIAN METHOD FOR DETECTING EMOTION FROM VOICE FOR KANSEI ROBOTS |
|---|---|
| Subtitle | ORIGINAL ARTICLES, SPECIAL ISSUE |
| Authors | Jangsik CHO*, Shohei KATO*, Masayoshi KANOH**, Hidenori ITOH* |
| Authors (kana) | |
| Organization | *Dept. of Computer Science and Engineering, Nagoya Institute of Technology, **School of Life System Science and Technology,c Chukyo University |
| Journal | KANSEI Engineering International |
| Volume | 8 |
| Number | 1 |
| Page | 15-22 |
| Year/Month | 2009 / 1 |
| Article | Original article |
| Publisher | Japan Society of KANSEI Engineering |
| Abstract |
The paper describes a Bayesian-based method for inferring a dialogist's emotion from his or her voice, for Kansei robotics. The method uses a Bayesian model of prosodic features. This research focuses...
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| Practice | Basic medicine |
| Keywords | Bayesian Network, Emotion Detection from Voice, Kansei Robot, Human-Robot Communication |
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