Lior Madmoni
Papers
1
Total Citations
2
H-Index
1
About
Lior Madmoni is a researcher in audio signal processing, with a focus on sound source localization and tracking for robotic and acoustic array applications. His most cited work, from 2018, describes algorithms developed for the Ben-Gurion University submission to the LOCATA (LOCalization And TrAcking) challenge, a benchmark competition for source localization. In this paper, Madmoni details methods for localizing stationary sound sources using two distinct microphone arrays: the Nao robot array and the Eigenmike spherical array. This contribution addresses tasks 1 and 2 of the challenge, demonstrating robust performance in real-world, multi-microphone environments. While his citation count is modest, his work is notable for its practical application in human-robot interaction and acoustic scene analysis, providing foundational algorithms for tracking sound sources in dynamic settings. Madmoni’s research bridges theoretical signal processing and real-world robotics, offering valuable insights for students and engineers working on auditory perception systems.
Research Focus
Key Achievements
Top Papers
- 1