A Hybrid Meta-Heuristic Feature Selection Method Using Golden Ratio and Equilibrium Optimization Algorithms for Speech Emotion Recognition.
Arijit DeySoham ChattopadhyayPawan Kumar SinghAli AhmadianMassimiliano FerraraRam SarkarPublished in: IEEE Access (2020)
Keyphrases
- computational cost
- feature selection
- computational complexity
- significant improvement
- theoretical analysis
- optimization algorithm
- computationally efficient
- machine learning
- mutual information
- optimization problems
- speech emotion recognition
- evolution strategy
- combinatorial optimization
- game theory
- objective function
- learning algorithm
- np complete
- feature set
- support vector
- optimization methods
- constrained optimization