Date/Time
Date(s) - 22/04/2013
13.00 - 14.00
Location
Sala Segimon Serrallonga
Category(ies)
Title: “Neural Disorders Analysis Using the Speech Signal Processing”
Jiri Mekyska Ph.D.: Member of SPLab (Signal Processing Laboratory) at the Department of Telecommunications at Brno University of Technology.
Date: 22 April 2013, from 13h to 14h
Place: Sala Segimon Serrallonga, UVic
Abstract: Speech signal processing is one of the popular non-invasive techniques of neural 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 neural 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.
Jiri Mekyska is a junior researcher and member of SPLab (Signal Processing Laboratory) at the Department of Telecommunications at Brno University of Technology. His research interest lies in the field of speech signal analysis and its application in biomedicine. In this field he develops neural disorders analysis systems and algorithms of feature extraction. He deals with the hand-written text analysis, thermal image processing and information theory as well.