Inhaltsangabe
1. Introduction. 1.1 Spoken Language Dialogue Systems.1.2 Enhancing a Spoken Language Dialogue System.1.3 Challenges in Dialogue Management Development. 1.4 Issues in User Modeling. 1.5 Evaluation of Dialogue Systems. 1.6 Summary of Contributions.- 2. Human Emotions. 2.1 Definition of Emotion. 2.2 Theories of Emotion and Categorization. 2.3 Emotional Labeling. 2.4 Emotional Speech Databases/Corpora. 2.5 Discussion.- 3. Adaptive Human-Computer Dialogue.3.1 Background and Related Research. 3.2 User-State and Situation Management. 3.3 Dialogue Strategies and Control Parameters. 3.4 Integrating Speech Recognizer Confidence Measures into Adaptive Dialogue Management. 3.5 Integrating Emotions into Adaptive Dialogue Management. 3.6 A Semi-Stochastic Dialogue Model. 3.7 A Semi-Stochastic Combined Emotional. 3.8 A Semi-Stochastic Combined Emotional Dialogue Model. 3.9 Extending the Semi-Stochastic Combined Emotional Dialogue Model. 3.10 Discussion.- 4. Hybrid Approach to Speech-Emotion Recognition. 4.1 Signal Processing. 4.2 Classifiers for Emotion Recognition. 4.3 Existing Approaches to Emotion Recognition. 4.4 HMM-based Speech Recognition. 4.5 HMM-based Emotion Recognition. 4.6 Combined Speech and Emotion Recognition. 4.7 Emotion Recognition by Linguistic Analysis. 4.8 Discussion.- 5. Implementation. 5.1 Emotion Recognizer Optimizations. 5.2 Using Multiple (Speech-) Emotion Recognizers. 5.3 Implementation of our Dialogue Manager. 5.4 Discussion.- 6. Evaluation. 6.1 Description of Dialogue System Evaluation Paradigms. 6.2 Speech Data Used for the Emotion Recognizer Evaluation. 6.3 Performance of our Emotion Recognizer. 6.4 Evaluation of our Dialogue Manager. 6.5 Discussion.- 7. Conclusion and Future Directions.- A. Emotional Speech Databases.- B. Used Abbreviations.- References.- Index
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