Handling unseen domains in information extraction from speech

This dissertation topic is available for Czech studies only.

Machine learning relies on training which covers processing domains that are expected during the machine application. Subsequently, accuracy of the processing is typically severely impaired when encountering domain not covered during the training. The proposed research will study techniques for handling this inherent machine learning problem.