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In this paper low-frequency analysis is addressed in order to explore components of continuous speech signals, trying to making evident the changes in the spectrum, which could be associated to the tremor in speech of people with Parkinson's disease. Four time-frequency (TF) techniques based on WignerVille distribution (WVD) are used for the characterization of the low frequency content of the speech...
In this paper, we explore the information provided by a joint acoustic and modulation frequency representation, referred as modulation spectrum, for detection of people with Parkinsons disease through speech signals. The set of features includes the centroids and the energy content of different frequency bands in the modulation spectra of the recordings. Additionally, with the aim to eliminate possible...
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