Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling

Keyphrases

• Facial Expression 100%
• Multimodal Emotion Recognition 100%
• Speech Emotion Recognition 100%
• LSTM Modeling 100%
• Context-sensitive 100%
• Bidirectional Long Short-Term Memory (BiLSTM) 100%
• Speech Expression 100%
• Support Vector Machine 33%
• Visual Cues 33%
• Classification Task 33%
• Hidden Markov Model 33%
• Classification Methods 33%
• Network Approach 33%
• Valence 33%
• Emotional Expression 33%
• Model Vectors 33%
• Audiovisual Archives 33%
• Recognition-based 33%
• F-measure 33%
• Three-level 33%
• Emotion Recognition 33%
• Acoustic Cues 33%
• Long-range Contextual Information 33%
• Non-prototypical 33%
• Emotional Space 33%
• Evolution of Emotion 33%
• Subject-independent 33%
• Emotional Labels 33%
• Feature-level Fusion 33%

Computer Science

• Bidirectional Long Short-Term Memory Network 100%
• Facial Expression 100%
• Support Vector Machine 33%
• Contextual Information 33%
• Classification Technique 33%
• Classification Task 33%

Neuroscience

• Short-Term Memory 100%
• Support Vector Machine 50%
• Hidden Markov Model 50%