A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal.
Yogesh C. K.M. HariharanRuzelita NgadiranAbdul Hamid AdomSazali YaacobChawki BerkaiKemal PolatPublished in: Expert Syst. Appl. (2017)
Keyphrases
- speech signal
- biogeography based optimization
- automatic speech recognition systems
- hybrid algorithm
- particle swarm optimisation
- differential evolution
- speech recognition
- noisy environments
- particle swarm optimization pso
- cepstral coefficients
- particle swarm optimization
- speaker identification
- genetic algorithm ga
- pattern recognition
- automatic speech recognition
- pso algorithm
- particle swarm optimization algorithm
- particle swarm optimizer
- object recognition
- non stationary
- evolutionary algorithm
- global optimization
- optimization algorithm
- hidden markov models
- fundamental frequency
- speech quality
- particle swarm
- voronoi diagram
- visual speech
- clonal selection algorithm
- feature extraction
- constrained optimization problems
- mutation operator
- convergence speed
- multi objective
- noisy images
- swarm intelligence
- optimization method
- fitness function
- multiscale
- genetic algorithm