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Presentación en PDF (NO AUTORIZADO) |
Resumen:Speech signal processing is one of the popular non-invasive techniques of neurological disorders analysis. People with diseases like Parkinson’s disease, Alzheimer’s disease or schizophrenia have different speech dysfunctions. A possibility to objectively quantify these dysfunctions is a step for a better and more efficient diagnosis. The aim of this lecture is to describe the whole process of neurological disorders analysis using speech signal processing. There will be described the most common speech dysfunctions, suitable speech tasks, local speech features (basic features, non-linear dynamic features, features based on empirical mode decomposition EMD), global speech features (description of tongue movement), high-level speech features (some statistics), different approaches of feature selection and possible applications of these techniques in a medical and pharmaceutical industry. |