Fusing acoustic feature representations for computational paralinguistics tasks

Keyphrases

• Native Language 100%
• Feature Representation 100%
• Acoustic Features 100%
• Sincerity 100%
• Computational Paralinguistics 100%
• Fisher Vector Encoding 100%
• Forensic 50%
• Application Domain 50%
• Partial Least Squares Regression 50%
• Computer Vision 50%
• Biomedical Engineering 50%
• Deception 50%
• OpenSMILE 50%
• Kernel Extreme Learning Machine 50%
• Low-level Descriptors 50%
• ComParE Challenge 50%
• Fisher Vector 50%
• Nonlinear Processing 50%
• Representation Method 50%
• Kernel Learning Method 50%
• Robust Kernel 50%
• Descriptor Representation 50%

Computer Science

• Fisher Vector 100%
• Acoustic Feature 100%
• Native Language 66%
• Least Squares Methods 33%
• Representation Method 33%
• Extreme Learning Machine 33%
• Application Domain 33%
• Computer Vision 33%