Yanir Maymon
Papers
1
Total Citations
10
H-Index
1
About
Yanir Maymon is a researcher whose work centers on audio signal processing, with a particular focus on robust speaker localization in challenging acoustic environments. His primary contributions lie in advancing direction-of-arrival (DoA) estimation techniques for microphone arrays, especially in reverberant and noisy settings—a critical challenge for applications like robot audition and smart audio systems. His most-cited paper, "Towards acoustically robust localization of speakers in a reverberant environment" (2017, 10 citations), introduces a novel DoA estimation method for spherical arrays that maintains high accuracy under real-world conditions, addressing a key limitation in prior approaches. While his citation count reflects a focused, early-stage impact, his work is notable for bridging theoretical signal processing with practical, deployable solutions for autonomous systems. Maymon’s research is particularly valuable for students and engineers working on human-robot interaction, acoustic scene analysis, and array processing, offering a foundation for building more reliable auditory perception in machines.
Research Focus
Key Achievements
Top Papers
- 1