Wieslaw Paja

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Classification of voice signals in a time domain for detecting some disturbances can be made through mining unique episodes in temporal information systems. In ideal case, a voice signal is periodic and signal shapes in each period are the same. In case of larynx diseases, some disturbances in a voice signal can be distinguished. Selected time windows(More)
Feature selection methods, as a preprocessing step to machine learning , are effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility. However, the recent increase of dimensionality of data poses a severe challenge to many existing feature selection methods with respect to the(More)