Научная электронная библиотека ULRICH'S Periodicals Directory

Сибирский государственный университет
науки и технологий имени академика М.Ф. Решетнева

Сибирский аэрокосмический журнал
ISSN 2712-8970 (Print) ISSN 2782-5760 (on-line)

Сведения об образовательной организации

UDK 3517.9
ABOUT THE METHODS FOR SELECTION INFORMATIVE FEATURES USING SELF-ADJUSTING NEURAL NETWORK CLASSIFIERS AND THEIR ENSEMBLES
E. D. Loseva1, R. B. Sergienko2
1Reshetnev Siberian State Aerospace University 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation 2Institute of Communications Engineering, Ulm University, 43, Albert Einstein Allee, Ulm, 89081, Germany
Using feature selection procedures based on filters is useful on the pre-processing stage for solving the task of data analysis in different domains including an air-space industry. However, it is a complicated problem, due to the absence of class labels that would guide the search for relevant information. The feature selection using “wrapper” approach requires a learning algorithm (function) to evaluate the candidate feature subsets. However, they are usually performed separately from each other. In this paper, we propose two-stage methods which can be performed in supervised and unsupervised forms simultaneously based on a developed scheme using three criteria for estimation (“filter”) and multi-criteria genetic programming using self-adjusting neural network classifiers and their ensembles (“wrapper”). The proposed approach was compared with different methods for feature selection on tree audio corpora in German, English and Russian languages for the speaker emotion recognition. The obtained results showed that the developed technique for feature selection provides to increase accuracy for emotion recognition.
Keywords: emotion recognition, neural network classifiers, multi-criteria genetic programming, feature selection.
References

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Loseva Elena Davidovna – postgraduate student, Institute of Informatics and Telecommunications, Reshetnev

Siberian State Aerospace University. E-mail: rabota_lena_19@mail.ru.

Sergienko Roman Borisovich – Dr. Sc., senior researcher at the research group of dialogue systems, University of

Ulm, Germany. E-mail: roman.sergienko@uni-ulm.de.