Klaus Obermeyer
Papers
1
Total Citations
2
H-Index
1
About
Klaus Obermeyer is a researcher whose work lies at the intersection of auditory perception, computational modeling, and active listening systems. His primary research areas include feedback loops in auditory processing, cross-modal information integration, and the development of architectures for active listening—systems that mimic the human ability to selectively attend to and process sounds in complex environments. Obermeyer’s major contribution is his involvement in the TWO!EARS project, a European FET-Open initiative that aimed to build a computational framework for active listening. He contributed to the specification of feedback loops and the integration of top-down and bottom-up processing mechanisms, which are essential for creating machines that can understand and interact with auditory scenes in a dynamic, human-like manner. While his most cited work has garnered 2 citations, it represents a foundational piece in a niche but growing field. Obermeyer’s work is notable for its ambition to bridge cognitive science and engineering, offering a blueprint for future auditory AI systems that can learn, adapt, and focus attention in real time.
Research Focus
Key Achievements
Top Papers
- 1