Perception and classification of emotions in nonsense speech: Humans versus machines

Keyphrases

• Acoustic Conditions 50%
• Affective Computing 50%
• Art Features 50%
• Automatic Classification 50%
• Clean Data 50%
• Closed World 50%
• Emotion Classification 100%
• Emotion Perception 100%
• Emotional Category 50%
• Emotional Distraction 50%
• Fallacies 50%
• Feature Representation 50%
• Human Annotation 50%
• Human Perception 50%
• Human-machine Systems 100%
• Lab Data 50%
• Large Amount of Data 50%
• Machine Classification 50%
• Machine Learning 50%
• Machine Learning Approach 50%
• Machine Learning Based 50%
• Noisy Data 50%
• Nonsense 100%
• One World 50%
• Small-world 50%
• Training Set 50%
• Wav2vec 2.0 50%

Computer Science

• Affective Computing 50%
• Annotation 50%
• Automatic Classification 50%
• Emotional Category 50%
• Fuzzy Category 50%
• Human Perception 50%
• Learning System 100%
• Machine Learning 100%
• Machine Learning Approach 50%

Psychology

• Training Set 100%