Speech signal processing based on wavelets and SVM for vocal tract pathology detection

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. © 2008 Springer-Verlag.