Analysis and classification of the pathological speech using artificial intelligence methods

In the present work we introduce a new approach to pathological speech processing methods and recognition of various speech pathologies. We no longer attempt to recognise forms of pathological speech deformations, because it is impossible to show any compact template of a normal speech signal (as reference) and it is also impossible to show a standard form of any deformation. The presented concept of the research scheme is based on the technique of advanced acoustic signal analysis and it refers to the analysis of artificial neural networks functioning in the task of recognition of selected types of vocal tract pathologies. It is recommended here that the simple process of signal recognition should be replaced by a more advanced method of its analysis, called the process of automated understanding of the signal. Selected excerpts of research are presented concerning the application of (modified) acoustic signal processing methods and (in particular) the neural network techniques specially designed for solving the problem of "understanding" selected pathologies of vocal tract. Key-Words – artificial intelligence, computerised signal processing, speech analysis, applications of neural networks,