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City Dublin / Berlin / Krasnoyarsk / London / Edinburgh / / Company Pearson / Neural Networks / Hershey / Russell / / Country Russia / United Kingdom / / / Facility Technical University of Berlin / Karlsruhe University / Siberian State Aerospace University / University of Ulm / / IndustryTerm classification algorithm / heuristic algorithm / genetic algorithm / supervised learning algorithm / log energy / clustering algorithm / technology system / genetic algorithms / final solution / self-adaptive multi-objective genetic algorithm / evolutionary algorithms / spoken dialogue systems / multi-criteria genetic algorithm / multi-objective genetic algorithm / binary search space / / Organization International Speech Communication Association / Technical University of Berlin / Karlsruhe University / Siberian State Aerospace University / Institute for Communications Engineering / Association for Computational Linguistics / University of Ulm / / Position Prime Minister / speaker / speech-based speaker / open-source audio feature extractor / representative / probability pm / Carpenter / / ProvinceOrState Georgia / / PublishedMedium Computational Linguistics / / Technology heuristic algorithm / self-adaptive multi-objective genetic algorithm / Speech Recognition / neural network / multi-objective genetic algorithm / Multiobjective evolutionary algorithms / supervised learning algorithm / clustering algorithm / genetic algorithm / classification algorithm / multi-criteria genetic algorithm / recombination / / SocialTag 
Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm Maxim Sidorov1 , Christina Brester2 , Wolfgang Minker3 , Eugene Semenkin4 1,3 Institute for Communications Engineerin