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 design 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).
If the inline PDF is not rendering correctly, you can download the PDF file here.
 R. Kohavi G.H. John Wrappers for feature subset selection. Artificial Intelligence 97 pp. 273-324 1997.
 S.B. Thrun The Monk’s problems: a performance comparison of different learning algorithms Tech. Rept. CMU-CS-91-197 Carnegie Mellon University Pittsburgh PA 1991.
 G.H. John Enhancements to the data mining process. Ph.D. Thesis Computer Science Department Stanford University CA 1997.
 M. Venkatadri K. Srinivasa Rao A multiobjective genetic algorithm for feature selection in data mining International Journal of Computer Science and Information Technologies vol. 1 no. 5 2010 pp. 443-448.
 Ch. Brester M. Sidorov E. Semenkin Acoustic Emotion Recognition: TwoWays of Feature Selection Based on Self-Adaptive Multi-Objective Genetic Algorithm Proceedings of the International Conference on Informatics in Control Automation and Robotics (ICINCO) 2014 pp. 851-855.
 K. Deb A. Pratap S. Agarwal T. Meyarivan A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Transactions on Evolutionary Computation 6 (2) 2002 pp. 182-197.
 R. Wang Preference-Inspired Co-evolutionary Algorithms A thesis submitted in partial fulfillment for the degree of the Doctor of Philosophy University of Sheffield 2013 p. 231.
 E. Zitzler M. Laumanns L. Thiele SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization Evolutionary Methods for Design Optimisation and Control with Application to Industrial Problems EUROGEN 2001 3242 (103) 2002 pp. 95-100.
 D. Whitley S. Rana and R. Heckendorn Island model genetic algorithms and linearly separable problems Proceedings of AISBWorkshop on Evolutionary Computation Manchester UK. Springer volume 1305 of LNCS 1997 pp. 109-125.
 Ch. Brester E. Semenkin Cooperative Multiobjective Genetic Algorithm with Parallel Implementation // Advances in Swarm and Computational Intelligence LNCS 9140 2015 pp. 471-478.
 R.W. Picard Affective computing. Tech. Rep. Perceptual Computing Section Technical Report No. 321 MIT Media Laboratory 20 Ames St. Cambridge MA 02139 1995.
 P. Boersma Praat a system for doing phonetics by computer Glot international vol. 5 no. 9/10 2002 pp. 341-345.
 F. Eyben M. Wllmer and B. Schuller Opensmile: the Munich versatile and fast opensource audio feature extractor Proceedings of the international conference on Multimedia 2010. ACM pp. 1459-1462.
 F. Burkhardt A. Paeschke M. Rolfes W. F. Sendlmeier and B. Weiss A database of german emotional speech In Interspeech 2005 pp. 1517-1520.
 S. Haq P. Jackson Machine Audition: Principles Algorithms and Systems chapter Multimodal Emotion Recognition IGI Global Hershey PA Aug. 2010 pp. 398-423.
 A. Schmitt S. Ultes and W. Minker A parameterized and annotated corpus of the cmu let’s go bus information system Proceedings of International Conference on Language Resources and Evaluation (LREC) 2012.
 H. Mori T. Satake M. Nakamura and H. Kasuya Constructing a spoken dialogue corpus for studying paralinguistic information in expressive conversation and analyzing its statistical/acoustic characteristics Speech Communication 53 2011.
 Ch. Brester M. Sidorov E. Semenkin Speechbased emotion recognition: Application of collective decision making concepts Proceedings of the 2nd International Conference on Computer Science and Artificial Intelligence (ICCSAI2014) 2014 pp. 216-220.
 M. Hall E. Frank G. Holmes B. Pfahringer P. Reutemann I. H.Witten The WEKA Data Mining Software: An Update SIGKDD Explorations Vol. 11 Issue 1 2009.
 C. Goutte E. Gaussier A probabilistic interpretation of precision recall and F-score with implication for evaluation. ECIR’05 Proceedings of the 27th European conference on Advances in Information Retrieval Research 2005 pp. 345-359.