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

Authors:
P. Kukharchik;I. Kheidorov;E. Bovbel;D. Ladeev
Affiliations:
Belarusian State University, Belarus 220050;Belarusian State University, Belarus 220050;Belarusian State University, Belarus 220050;Belarusian State University, Belarus 220050
Venue:
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Year:
2008

Citing 2
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Automatic detection of pathologies in the voice by HOS based parameters

EURASIP Journal on Applied Signal Processing - Nonlinear signal and image processing - part I
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way

A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way

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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.