Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. This paper proposes a hybrid expert system approach to detect vocal fold pathology using the compressed/low quality voice samples which includes feature extraction using wave...

In this paper we revisit the practice of using feature selection for dimensionality and noise reduction. Commonly we score features according to some weighting scheme and then specify that the top N ranked features or top N percents of scored features are to be used for further processing. In text classification, such a selection criteria lead to significantly different sizes of (unique) featur...

Feature selection and feature weighting are useful techniques for improving the classification accuracy of K-nearest-neighbor (K-NN) rule. The term feature selection refers to algorithms that select the best subset of the input feature set. In feature weighting, each feature is multiplied by a weight value proportional to the ability of the feature to distinguish pattern classes. In this paper,...

The diagnosis of Parkinson has become easier with the existence machine learning. It includes using existing features from biometric dataset generated by person to identify whether he or not. differ in their discrimination capability and they suffer redundancy. Hence, researchers have recommended feature selection for Parkinson's identification. aims at finding most important relevant produce a...