Music Emotion Recognition with the Extraction of Audio Features Using Machine Learning Approaches

Keyphrases

• Human Emotions 100%
• Music Information Retrieval 100%
• Machine Learning Approach 100%
• Audio Features 100%
• Music Emotion Recognition 100%
• Machine Learning Classifiers 50%
• Emotion Classification 50%
• Random Forest 50%
• Emotion Classes 50%
• Matrix Laboratory (MATLAB) 50%
• Linear Discriminant 50%
• Brain Circuits 50%
• Forest Features 50%
• Feature Ranking 50%
• Distinctive Features 50%
• Recognition Accuracy 50%
• Prediction Accuracy 50%
• Subsequent Effects 50%
• Artificial Neural Network 50%
• Emotion Model 50%
• Linear Ensemble 50%
• Ensemble Learners 50%
• MIRtoolbox 50%
• Support Vector Machine 50%
• Two Dimensional 50%
• Timbre 50%

Arts and Humanities

• Vocal Music 100%
• Music Emotion Recognition 100%
• Music Information Retrieval 100%
• Artificial 50%
• Rhythm 50%
• Timbre 50%
• Genre 50%

Psychology

• Rhythm 100%
• Neural Network 100%