Henk Brouckxon
Papers
2
Total Citations
11
H-Index
2
About
Henk Brouckxon is a researcher whose work sits at the intersection of robotics and acoustic signal processing, with a primary focus on enabling humanoid robots to perceive their auditory environment. His key research areas include sound source localization, speech denoising, and the practical deployment of audio algorithms on real-world robotic platforms. Brouckxon’s major contributions lie in bridging the gap between theoretical signal processing and the messy realities of physical robots. In his 2012 paper, “The effect of speech denoising algorithms on sound source localization for humanoid robots” (6 citations), he systematically evaluated how four major denoising algorithms perform as weighting functions for Generalized Cross-Correlation (GCC), critically examining the impact of microphone frequency response on localization accuracy. His companion work, “Sound Source Localization for Real-World Humanoid Robots” (5 citations), moved beyond idealized simulations to study how a robot’s actual physical shape degrades Time Delay of Arrival (TDOA) estimates. By confronting the challenges of robot body diffraction and real-world acoustics, Brouckxon has provided foundational insights for engineers building robots that can reliably hear and locate sounds in natural environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sound Source Localization for Real-World Humanoid Robots5 citations · 2012