Speech intelligibility is a key factor in successful communication. Technologies for its improvement find application across various domains, including research, post-production for film and television, live sound reinforcement, and audio production. This requires an evaluation of speech intelligibility. Traditional assessment methods often lack objectivity or fail to capture the listener’s experience in real-world scenarios.
In this 90-minutes workshop, Prof. Dr. Jan Rennies-Hochmuth and Hannah Baumgartner will present one of the central challenges of modern communication: the reliable measurement of speech intelligibility in real-world listening situations.
Practical demonstrations and use cases
To this end, they will introduce an innovative approach to measuring speech intelligibility and listening effort based on perceptual models combined with machine learning.
They will present the underlying technology, share practical examples from different application areas, and demonstrate how this method can be integrated into workflows to optimize intelligibility. Attendees will have the opportunity to participate in a hands-on demonstration and discuss potential use cases relevant to their own work.
This session is designed for professionals and researchers seeking reliable and actionable tools for evaluating and improving speech intelligibility in diverse environments.
Session Structure:
- Introduction & Relevance: Overview of the importance of speech intelligibility across different fields
- Technology & Methodology: Presentation of the measurement method and underlying concepts
- Practical Examples: Case studies from research, post-production (film/TV), live sound, and production
- Live Demo / Interactive Exercise: Practical demonstration and opportunity for active participation Discussion & Outlook: Q&A, exchange of ideas, and future perspectives
- Interactivity: Participants will be able to join a short demo/exercise and ask questions.