Israel Cohen

Technion – Israel Institute of Technology

Papers

Total Citations

H-Index

About

Israel Cohen is a leading researcher in audio and speech processing, with a primary focus on advancing human-robot interaction (HRI) through innovative microphone array technologies. His key research areas include beamforming, blind source separation, and noise reduction for dynamic acoustic environments. Cohen’s major contributions lie in developing steerable differential beamformers for planar microphone arrays, which address the unique geometric and size constraints of humanoid robots, enabling robust speech acquisition in noisy, reverberant settings. His work on a unified beamforming and source separation model, as detailed in his 2024 paper, marks a significant step forward for static and dynamic HRI, demonstrating accurate target speech recovery even in challenging conditions. With his 2020 paper on steerable beamformers garnering 14 citations and his recent 2024 model already gaining attention, Cohen’s impact is evident in both theoretical advancements and practical applications. His research is particularly notable for bridging the gap between algorithmic innovation and real-world robotic systems, making him a key figure in the evolution of intuitive, noise-resilient human-robot communication.