Benjamin Cohen-L'hyver
Papers
1
Total Citations
2
H-Index
1
About
Benjamin Cohen-L'hyver is a researcher whose work lies at the intersection of computational auditory perception, active listening, and cross-modal information integration. His primary contributions stem from his involvement in the European FP7-ICT TWO!EARS FET-Open Project, where he focused on designing feedback loops and system architectures that enable machines to emulate human-like active listening. This process combines bottom-up sensory data processing with top-down cognitive mechanisms, a challenging frontier in artificial intelligence and robotics. His most cited work, the TWO!EARS Deliverable D4.2, specifies the implementation of these feedback loops, laying foundational groundwork for systems that can dynamically adapt their auditory attention based on context and prior knowledge. Though his citation count is modest, his contributions are notable for their technical depth and interdisciplinary ambition, bridging engineering, cognitive science, and signal processing. Cohen-L'hyver’s research is particularly relevant for students and researchers interested in biologically inspired AI, auditory scene analysis, and the development of interactive systems that learn and respond to complex, real-world environments.
Research Focus
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Top Papers
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