Projects of the speech analysis and synthesis department

The project explores the integration of social robots and Artificial Intelligence (LLM) into the treatment of aphasia—a language disorder caused by brain damage. Since access to speech therapy is often limited, the goal is to develop a discourse-level approach that simulates natural communication and increases therapy intensity.

Key Objectives and Methodology:

• Therapy Design: Developing procedures focused on spontaneous speech.
• Technology Testing: Validating the use of robots and language models first with healthy individuals, followed by a clinical group of persons with aphasia.

Impact: Increasing therapy availability and frequency, leading to improved functional communication and long-term quality of life for patients.

Current voice interfaces are primarily optimized for the general population and standard, calm communication. To enhance the robustness of both theoretical models and practical applications, it is essential to research non-standard and extreme cases of human-machine interaction.

Project Goals and Focus:

• Optimization for Specific Groups: Researching communication with seniors, pre-pubescent children, and individuals with neurodegenerative diseases.
• Emotional and Linguistic Inclusion: Analyzing affective communication (various emotional levels) and developing voice interaction possibilities in the Romani language.

Impact: Advancing cognitive models and expanding the accessibility of voice technologies for diverse target groups and communication contexts.

The project focuses on advanced research and development of selected technological concepts for an integrated forest fire management platform. This work builds upon the foundations originally established within the H2020 project SILVANUS.

Core Focus:

• Innovation: Developing advanced approaches for integrated information platforms.

• Continuity: Expanding and optimizing technologies for real-world fire management scenarios.