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Automatic recognition of emotional states via speech signal has attracted increasing attention in recent years. A number of techniques have been proposed which are capable of providing reasonably high accuracy for controlled studio settings. However, their performance is considerably degraded when the speech signal is contaminated by noise. In this paper, we present a framework with adaptive noise...
Besides cardiovascular diseases, heart attacks are the main cause of death around the world. Pre-monitoring or pre-diagnostic helps to prevent heart attacks and strokes. ECG plays a key role in this regard. In recent studies, SVM with different kernel functions and parameter values are applied for classification on ECG data. The classification model of SVM can be improved by assigning membership values...
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