Dissertation Topic
End-to-end dialog modeling
Academic Year: 2024/2025
Supervisor: Černocký Jan, prof. Dr. Ing.
Co-supervisor: Schwarz Petr, Ing., Ph.D.
Department: Department of Computer Graphics and Multimedia
Programs:
Information Technology (DIT) - full-time study
Information Technology (DIT-EN) - full-time study
In contrast to component-based dialogue systems (such as speech recognition, natural language generation, dialogue management and speech synthesis), this topic concentrates on end-to-end modelling of voice dialogues. The goal is to represent dialogues in a vector space, where it will be possible to semi-automatically or fully automatically design conversational models in the form of finite-state automata graphs from an unannotated set of voice or text training dialogues. This will lead to trustworthy and explainable modeling of conversations.