Measurement of social interaction based on speech evaluation

Context

The development of AI technologies for analyzing social interactions and securely processing voice data is rapidly gaining in importance. In this context, we are working on innovative solutions for speech recognition and voice identification in order to quantify social interactions and process them in compliance with data protection regulations. You will actively contribute to the development of algorithms that analyze conversations and environments to provide sound criteria for the assessment of social interactions. You will put your theoretical knowledge into practice and further develop your skills in the areas of audio processing and artificial intelligence.

Tasks

• Literature research on measuring social interaction
• Research on speech recognition and speech identification
• Comparison of different AI models and analysis with regard to possible improvement potentials
• Design of an evaluation concept and support in defining requirements
• Training of the AI models and evaluation of the prototype system

Prerequisites

• Motivation and interest in solving technical problems independently
• Knowledge of machine learning and artificial intelligence
• Experience with Python and AI frameworks (e.g. PyTorch)
• Analytical, problem-solving and communication skills