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On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition

  • Freha Mezzoudj
  • Assia Benyettou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7664)

Abstract

We present in this paper an interesting approach to enhance the performance of multi-classification using Genetic Algorithm. Two systems for an instance selection and feature selection are respectively introduced. We combined Genetic Algorithm with multiclass Support Vector Machines in order to reduce the learning set. The goal is to simplify the learning process and to improve the generalization. The results obtained on speech corpus show encouraging improvements in terms of processing time and classification accuracies.

Keywords

Support Vector Machines Genetic Algorithms Multi-classification Speech recognition Machine learning Feature Selection Instance Selection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Freha Mezzoudj
    • 1
  • Assia Benyettou
    • 1
  1. 1.Laboratory Signal-IMage-PArole (SIMPA), Department of Computer ScienceUniversity of Science and Technology of Oran USTOAlgeria

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