Computer-based clinical decision support for laryngopathies using recurrent neural networks

The research concerns computer-based clinical decision support for laryngopathies. The proposed computer tool is based on a speech signal analysis in the time domain using recurrent neural networks. Such networks have the ability of time series prediction because of their memory nodes as well as local recurrent connections. In our experiments we use the modified Elman-Jordan neural network. For this kind of the net, we can observe acceleration of a learning process and that is important in real-time decision making.