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Artificial Intelligence Methods in Diagnostics of the Pathological Speech Signals

机译:人工智能在病理性语音信号诊断中的方法

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摘要

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.
机译:在工作摘录中,提出了有关改进的声信号处理方法在“了解”声道选择问题中的应用的研究摘录。该研究计划的概念基于高级声信号分析技术,它是指在识别选定类型的声道疾病中起作用的人工神经网络分析。该方法基于对所考虑的信号发生器的内部模型的利用,并且针对所检查声音的这种结构分析。所描述的方法允许对于以可测量特征的小的多样化为特征的信号实现更细微的区分,对于所识别的类别观察到这种情况,在这里考虑的选定病理的识别问题中就是这种情况。

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