The thesis topic is the analysis of commonly used measurement and evaluation methods, error analysis of these methods, and the design of new methods for learning process description and elimination of identified errors. The analyses focuses on motor and spatial learning experiments of&#...

The automatic speaker recognition made a significant progress in the last two decades. Huge speech corpora containing thousands of speakers recorded on several channels are at hand, and methods utilizing as much information as possible were developed. Nowadays state-of-the-art methods are ba...

The thesis deals with the state estimation of stochastic systems and with the information fusion. It is supposed that data are provided by sensors that are grouped together into sensor nodes and that the sensor nodes are equipped with their own local estimators. The purpose&#x...

This dissertation deals with expressive speech synthesis in a dialogue. Dialogue acts - discrete expressive categories - are used for expressivity description. The aim of this work is to create a procedure for development of expressive speech synthesis using unit selection method for&#x...

This work is focused on the automatic speaker adaptation of an acoustic model, which is a part of the automatic speech recognition system. To train the acoustic model it is necessary to have large amount of data from many speakers. The final speaker-independent model is t...

This thesis deals with one of the key aspects of the unit selection speech synthesis method - design of a concatenation cost function. The concatenation cost function measures quality of concatenations of units that are taken from a unit database at synthesis runtime. The scop...

The dissertation thesis deals with the constrained optimization based approach to active fault detection and control (AFDC) of dynamical systems. The thesis addresses three main goals. The first goal is to define a general AFDC framework for stochastic discrete time dynamic system. The&...