Combining long short-term memory and dynamic bayesian networks for incremental emotion-sensitive artificial listening

Keyphrases

• Long Short-term Memory 100%
• Short-term Dynamics 100%
• Dynamic Bayesian Network 100%
• Artificial Listener 100%
• Two Dimensional 50%
• Affective State 50%
• Performance Gain 50%
• Emotional Speech 50%
• Contextual Information 50%
• Novel Technique 50%
• Valence 50%
• Acoustics 50%
• Automatic Estimation 50%
• System Components 50%
• Emotional State 50%
• Emotion Estimation 50%
• Low-level Features 50%
• Long Short-term Memory Network 50%
• Virtual Agents 50%
• New Alternatives 50%
• Long Short-term Memory Neural Network 50%
• Human Affects 50%
• Speech Data 50%
• Speech Signal 50%
• Statistical Functional 50%
• Phoneme 50%
• Long-range Contextual Information 50%
• Non-prototypical 50%
• Continuous Emotion 50%
• Keyword Features 50%
• Context History 50%
• Hierarchical Dynamics 50%
• Emotional Space 50%
• Incremental Recognition 50%
• Emotional History 50%
• Human-like 50%
• F1-measure 50%
• Labeler 50%

Computer Science

• Long Short-Term Memory Network 100%
• Dynamic Bayesian Network 100%
• Recurrent Neural Network 50%
• Performance Gain 50%
• Contextual Information 50%
• virtual agent 50%
• Statistical Computing 50%
• Emotional State 50%
• Context Information 50%
• Long Short-Term Memory Networks 50%