Improving Dysarthria Classification by Pattern Recognition Techniques Based on a Bionic Model

  • Eduardo Gonzalez-Moreira
  • Diana Torres
  • Carlos A. Ferrer
  • Yusely Ruiz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8259)

Abstract

The goal of this research is to use a bionic model to enhance classifi- cation of Dysarthria. The model based on the main features of the mammalian olfactory system is the initial stage of the recognition process. The bionic mod- el aimed to achieve an enhancement in the separation ability of the dysarthric features. The recognition performance obtained by four different pattern recog- nition algorithms using the bionic model to improve the features is shown and discussed. The results indicated that bionic model had clear influence on classi- fication performance of well-known techniques using dysarthria database as case study. We regard the results of this study as a promising initial step to the use of bionic model as a recognition improvement function.

Keywords

pattern recognition bionic model dysarthria 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Eduardo Gonzalez-Moreira
    • 1
  • Diana Torres
    • 1
  • Carlos A. Ferrer
    • 1
  • Yusely Ruiz
    • 1
  1. 1.Center for Studies on Electronics and Information TechnologiesCentral University of Las VillasCuba

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