Abstract
In this contribution new results in instantaneous recognition of emotion in non-verbal speech shall be presented. As classification method dynamic programming with Dynamic Time Warp or Bakis-Hidden-Markov-Models with Vector Quantization or Gaussian mixtures are used to analyze the pitch and energy contour of a speech signal. As emotional states joy, anger, fear, sadness, disgust, irritation, and an additional neutral user state have been evaluated. As rather unusual innovative user states the influences of tiredness and alcohol consumption of a speaker on his speech have been analyzed by use of the same methods. One of the main goals of the presented work was to keep the models applicable for new users and recognition simple for real-time evaluation. Finally observed results are presented and discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 481-486 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 6 |
| State | Published - 2002 |
| Event | 2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia Duration: 6 Oct 2002 → 9 Oct 2002 |
Keywords
- Automatic emotion recognition
- Social competence in the human-computer-interaction
- Speech processing