Speech Signal Processing Based on Wavelets and SVM for Vocal Tract Pathology Detection

  • P. Kukharchik
  • I. Kheidorov
  • E. Bovbel
  • D. Ladeev
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

This paper investigates the adaptation of modified wavelet-based features and support vector machines for vocal folds pathology detection. A new type of feature vector, based on continuous wavelet transform of input audio data is proposed for this task. Support vector machine was used as a classifier for testing the feature extraction procedure. The results of the experimental study are shown.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • P. Kukharchik
    • 1
  • I. Kheidorov
    • 1
  • E. Bovbel
    • 1
  • D. Ladeev
    • 1
  1. 1.Belarusian State UniversityBelarus

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