Abstract
In the work excerpts of research are presented, concerning the application of modified acoustic signal processing methods in the problem of “understanding” of selected pathologies of vocal tract. The 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. The method is based on utilization of an internal model of the considered signal’s generator and it is directed towards such a structure analysis of the examined sound. The described method allows to achieve more subtle differentiation for signal characterized by small diversification of measurable features, observed for the classes being recognized, what is the case in the problem of identification of selected pathologies considered here.
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Izworski, A., Tadeusiewicz, R., Wszolek, W. (2004). Artificial Intelligence Methods in Diagnostics of the Pathological Speech Signals. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_99
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DOI: https://doi.org/10.1007/978-3-540-30134-9_99
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