The course aims to provide students with basic understanding of methods and approaches to building spoken dialogue systems. The course will emphasize and discuss the importance of statistical techniques in construction of natural and robust dialogue systems. The course is taught in Czech or English.
During the course, you will have the opportunity to participate in development of the Alex Diaqlogue Systems Framework.
If you are interested in the subject and want to sign up, then you can do it here.
Spoken language understanding
Natural language generation
Evaluation of dialogue systems
 J. Psutka, L. Muller, J. Matoušek, and V. Radavá, Mluvíme s počítačem česky. Prague: Academia, 2006, p. 752.
 B. Thomson and S. Young, “Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems,” Computer Speech & Language, vol. 24, no. 4, pp. 562-588, 2010.
 S. Young et al., “The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management,” Computer Speech & Language, vol. 24, no. 2, pp. 150-174, 2010.
 C. M. Bishop, Pattern Recognition and Machine Learning, vol. 4, no. 4. Springer, 2006, p. 738.