Inhalt

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   Introduction
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   Research questions
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   Outline of the thesis
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   Basics of emotions in speech
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   A psychological view on emotions: Models of emotions
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  The expression of emotion
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   Language and speech
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   Extra-linguistic modalities
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   Automatic emotion recognition from speech
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   Overview of a statistical speech emotion recognition system
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   Feature calculation
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   Databases with emotional speech
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   Types of emotion databases
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   Labelling emotional databases
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   Summary
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  Approaches to speech emotion recognition
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   Emotion units
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   Features
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   Global statistics features
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   Short-term features
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   Non-acoustic features
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   Feature selection
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  Classification
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   Static classification
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   Dynamic classification
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   Trends in speech emotion classification
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   Speaker types, languages and target classes
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   Real-time speech emotion recognition
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   Applications for speech emotion recognition
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   Multimodal emotion recognition
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   Conclusion
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  Databases and methods for speech emotion recognition
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   Databases
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   Berlin Database of Emotional Speech
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   FAU Aibo Emotion Corpus
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   SmartKom Corpus
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   Audio segmentation
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   Features
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   Feature extraction
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   Feature selection
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   Classification
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   Support Vector Machines
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   Naïve Bayes
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   Summary
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  Experimental results
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   Evaluation measures
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   Emotion units
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  Feature evaluation
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   Individual feature ranking
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   Intra-feature type comparisons
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   Inter-feature type comparison
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   Reducing the number of statistical measures
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   Automatically selected features
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   Feature subsets
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   Classifiers
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   Conclusion
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   EmoVoice — Real-time speech emotion recognition
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   Architecture
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   Data acquisition
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   Sample applications and prototypes
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   Conversational applications
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   Artistic applications
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   Emotion expressions under realistic conditions
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   Evaluation studies
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   Barthoc jr.
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   E-Tree
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   EmoEmma
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   Conclusion
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   Multimodal emotion recognition
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   Gender information
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   Combined gender and emotion recognition
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   Relevant features
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   Results and discussion
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   Conclusion
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   Biosignals
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   Experiment for data collection
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   Recognition of emotions from speech and biosignals
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   Results and discussion
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   Conclusion
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  Linguistic information
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   The SAL database
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   Feature sets
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   Results and discussion
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   Conclusion
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  Facial expressions
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   The DaFEx database
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   Recognition of emotions from facial expressions and speech
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   Results and discussion
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   Conclusion
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   Conclusion
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   Final conclusion and outlook
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   Bibliography