Signal Processing and Analysis of Pathological Speech Using Artificial Intelligence and Learning Systems Methods
W. Wszołek a, A. Izworski b and G. Izworski a
AGH - University of Science and Technology
aFaculty of Mechanical Engineering and Robotics
b Faculty of Automatics and Biomedical Engineering, al. A. Mickiewicza 30, 30-059 Krakow, Poland
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In this paper, selected results are presented of research which is carried on for over a decade and covers valuation of chosen signal processing methods suitable to analyze and valuate pathological speech. This valuation is necessary during solving many medical diagnostics problems and when planning therapy and rehabilitation of certain types of diseases. All presented examples are used in clinical practice in the area of dentistry, dental surgery, otolaryngology and most of all, in phoniatrics and speech correction.

DOI: 10.12693/APhysPolA.123.995
PACS numbers: 43.70.+I, 84.35.+i