Тип публикации: статья из журнала
Год издания: 2016
Идентификатор DOI: 10.1515/jaiscr-2016-0018
Ключевые слова: feature selection, multi-objective optimization, Speech-based emotion recognition
Аннотация: If conventional feature selection methods do not show sufficient effectiveness, alternative algorithmic schemes might be used. In this paper we propose an evolutionary feature selection technique based on the two-criterion optimization model. To diminish the drawbacks of genetic algorithms, which are applied as optimizers, we desigПоказать полностьюn a parallel multicriteria heuristic procedure based on an island model. The performance of the proposed approach was investigated on the Speech-based Emotion Recognition Problem, which reflects one of the most essential points in the sphere of human-machine communications. A number of multilingual corpora (German, English and Japanese) were involved in the experiments. According to the results obtained, a high level of emotion recognition was achieved (up to a 12.97% relative improvement compared with the best F-score value on the full set of attributes).
Журнал: Journal of Artificial Intelligence and Soft Computing Research
Выпуск журнала: Т. 6, № 4
Номера страниц: 243-253
ISSN журнала: 20832567