A comparison of fitness functions in a genetic algorithm for acoustic-articulatory parameter inversion of vowels.
Jared DraytonEduardo R. MirandaAlexis KirkePublished in: GECCO (Companion) (2017)
Keyphrases
- fitness function
- genetic algorithm
- genetic programming
- genetic algorithm ga
- formant frequencies
- evolutionary algorithm
- speech recognition
- genetic operators
- evolutionary computation
- penalty function
- fitness evaluation
- speech recognition systems
- vocal tract
- optimal parameter settings
- initial population
- crossover and mutation
- fuzzy logic
- evolutionary process
- particle swarm
- acoustic features
- speech signal
- artificial neural networks
- genetic algorithm is employed
- neural network
- mutation operator
- crossover operator
- simulated annealing
- nsga ii
- particle swarm optimization pso
- tabu search
- selection strategy
- multi objective optimization
- differential evolution
- test data generation
- search space
- metaheuristic
- optimization problems
- multi objective